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Color gamut transform pairs

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A fog level detection method based on image HSV color histogram

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An efficient content-based image retrieval with ant colony optimization feature selection schema based on wavelet and color features

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A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision

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Hyperspectral reflectance imaging combined with chemometrics and successive projections algorithm for chilling injury classification in peaches

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Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review

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Tomato Plant Leaves Disease Classification Using KNN and PNN

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Prediction of plant transpiration from environmental parameters and relative leaf area index using the random forest regression algorithm

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Visualization of activated muscle area based on sEMG

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A Computer Vision Based Conveyor Deviation Detection System

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A method of information fusion for identification of rice seed varieties based on hyperspectral imaging technology

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Monitoring black tea fermentation quality by intelligent sensors: Comparison of image, e-nose and data fusion

Zhou, Q., Dai, Z., Song, F., Li, Z., Song, C., & Ling, C. (2023) · Food Bioscience · doi:10.1016/j.fbio.2023.102454 · Cited by 51

Deterioration identification of stone cultural heritage based on hyperspectral image texture features

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Automatic detection and counting of oil palm trees using remote sensing and object-based deep learning

Putra, Y. C., & Wijayanto, A. W. (2022) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2022.100914 · Cited by 39

Rapid recognition method of red brick content in recycled brick-concrete aggregates and powder based on color segmentation

Xia, P. C., Wang, S., Gong, F., Cao, W., & Zhao, Y. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.108633 · Cited by 35

Gesture-to-Text Translation Using SURF for Indian Sign Language

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Oil palm trees detection and counting on Microsoft Bing Maps Very High Resolution (VHR) satellite imagery and Unmanned Aerial Vehicles (UAV) data using image processing thresholding approach

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Design of portable electrochemiluminescence sensing systems for point-of-care-testing applications

Xia, S., Pan, J., Dai, D., Dai, Z., Yang, M., & Yi, C. (2022) · Chinese Chemical Letters · doi:10.1016/j.cclet.2022.107799 · Cited by 30

Multiscale Maize Tassel Identification Based on Improved RetinaNet Model and UAV Images

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Chicken meat freshness identification using the histogram color feature

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Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm

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Intelligent Selective Compliance Articulated Robot Arm robot with object recognition in a multi-agent manufacturing system

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Flooded Extent and Depth Analysis Using Optical and SAR Remote Sensing with Machine Learning Algorithms

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Improving 3D reconstruction for accurate measurement of appearance characteristics in shiny fruits using post-harvest particle film: A case study on tomatoes

Masoudi, M., Golzarian, M. R., Lawson, S. S., Rahimi, M., Islam, S. M. S., & Khodabakhshian, R. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109141 · Cited by 23

Optimising the parameters influencing performance and weed (goldenrod) identification accuracy of colour co-occurrence matrices

Rehman, T. U., Zaman, Q. U., Chang, Y. K., Schumann, A. W., Corscadden, K. W., & Esau, T. J. (2018) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2018.04.002 · Cited by 23

Bolt looseness detection based on Canny edge detection algorithm

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Stationary target localization and circumnavigation by a non‐holonomic differentially driven mobile robot: Algorithms and experiments

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Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network

Makhloughi, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-96100-9 · Cited by 19

An Image Analysis-Aided Method for Redundancy Reduction in Differentiation of Identical Actinobacterial Strains

Sajedi, H., Mohammadipanah, F., & Panahi, H. K. S. (2018) · Future Microbiology · doi:10.2217/fmb-2016-0096 · Cited by 19

Efficient LUT Design Methodologies of Transformation between RGB and HSV for HSV Based Image Enhancements

Kim, S., & You, J. (2024) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-024-01859-y · Cited by 19

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

Radovan, A., Mršić, L., Đambić, G., & Mihaljević, B. (2024) · Eng · doi:10.3390/eng5040172 · Cited by 24

Improved region growing algorithm for the calibration of flaking deterioration in ancient temple murals

Cao, J., Li, Y., Cui, H., & Zhang, Q. (2018) · Heritage Science · doi:10.1186/s40494-018-0235-9 · Cited by 17

Development and Performance Test of a Height-Adaptive Pesticide Spraying System

Chen, T., & Meng, F. (2018) · IEEE Access · doi:10.1109/access.2018.2813667 · Cited by 16

The integration of image processing and artificial neural network to estimate four fatty acid contents of sesame oil

Parsaeian, M., Shahabi, M., & Hassanpour, H. (2020) · LWT · doi:10.1016/j.lwt.2020.109476 · Cited by 16

Lizard colour plasticity tracks background seasonal changes

Pellitteri‐Rosa, D., Gazzola, A., Todisco, S., Mastropasqua, F., & Liuzzi, C. (2020) · Biology Open · doi:10.1242/bio.052415 · Cited by 15

On the Quantification of Visual Texture Complexity

Mirjalili, F., & Hardeberg, J. Y. (2022) · Journal of Imaging · doi:10.3390/jimaging8090248 · Cited by 16

Deep learning based static hand gesture recognition

Сатыбалдина, Д., & Kalymova, G. (2021) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v21.i1.pp398-405 · Cited by 15

Artificial-Intelligence-Based Low-Light Marine Image Enhancement for Semantic Segmentation in Edge-Intelligence-Empowered Internet of Things Environment

Im, S. J., Yun, C., Lee, S. J., & Park, K. R. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3482453 · Cited by 14

Mobile Application for Identification of Coffee Fruit Maturity using Digital Image Processing

Sudana, O., Witarsyah, D., Putra, A. A. G. D. D., & Raharja, I. M. S. (2020) · International Journal on Advanced Science Engineering and Information Technology · doi:10.18517/ijaseit.10.3.11135 · Cited by 14

Effects of the synthetic jet on the flow field and heat transfer over a surface-mounted square rib

Dutta, S., & Shantanu (2022) · Experimental Thermal and Fluid Science · doi:10.1016/j.expthermflusci.2022.110708 · Cited by 13

Development of a computer vision approach as a useful tool to assist producers in harvesting yellow melon in northeastern Brazil

Calixto, R. R., Neto, L. G. P., Cavalcante, T. D. S., Lopes, F. G. N., de Alexandria, A. R., & Silva, E. D. O. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106554 · Cited by 13

Investigation of the Hue–Wavelength Response of a CMOS RGB-Based Image Sensor

Park, H.-W., Choi, J.-W., Choi, J.-W., Joo, K. K., & Choi, J.-Y. (2022) · Sensors · doi:10.3390/s22239497 · Cited by 12

Quantified emotion analysis based on design principles of color feature recognition in pictures

Chen, C., Huang, Q.-Y., Zhou, M. Q., Huang, D., Liu, L.-C., & Deng, Y. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17286-6 · Cited by 12

Physicochemical, Antioxidant, Starch Digestibility, and Sensory Properties of Wheat Bread Fortified with Taiwanese Cocoa Bean Shells

Wang, C., Shen, H.-S., Yang, C.-W., Syu, P.-C., & Lin, S. (2024) · Foods · doi:10.3390/foods13172854 · Cited by 14

Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques

Ramazhan, M. R. S., Bustamam, A., & Buyung, R. A. (2025) · Information · doi:10.3390/info16030211 · Cited by 12

A Novel Pallet Detection Method for Automated Guided Vehicles Based on Point Cloud Data

Shao, Y., Fan, Z., Zhu, B., Zhou, M., Chen, Z., & Lu, J. (2022) · Sensors · doi:10.3390/s22208019 · Cited by 11

Dragon Fruit Maturity Detection Based-HSV Space Color Using Naive Bayes Classifier Method

Khisanudin, I. S., & Murinto (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/771/1/012022 · Cited by 11

Determination of free chlorine concentration and pH of the water using neural network based colorimetric method

Yaman, S., Karasekreter, N., & Ergün, U. (2022) · Chemical Papers · doi:10.1007/s11696-022-02287-w · Cited by 10

Enhancing a Display’s Sunlight Readability with Tone Mapping

Qian, Y., Chen, S.-C., Hsiang, E., Akimoto, H., Lin, C., & Wu, S.-T. T. (2024) · Photonics · doi:10.3390/photonics11060578 · Cited by 10

A Non-Contact Disease Identification Method for Geoheritage Based on the Spectra and Image Fusion Technology

Li, X., Yang, H., Chen, C., Wang, Y., Zhao, G., & Ni, J. (2025) · Geoheritage · doi:10.1007/s12371-025-01149-7 · Cited by 10

Water photovoltaic plant contaminant identification using visible light images

Zhou, Y., & Sun, H.-R. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102476 · Cited by 10

The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning

Mo, D.-H., Wu, Y., & Lin, C. (2022) · Applied Sciences · doi:10.3390/app12189289 · Cited by 10

Wafer particle inspection technique using computer vision based on a color space transform model

Chun, H., Wang, J., Kim, J., & Lee, C. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-11888-y · Cited by 10

Fusion Approach-Based Horticulture Plant Diseases Identification Using Image Processing

Balakrishna, K. (2020) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-2736-8.ch005 · Cited by 10

Automatic Detection of Slag Eye Area Based on a Hue-Saturation-Value Image Segmentation Algorithm

Wang, G., Tan, F., Jin, S., He, Z., Li, Y., & Li, J. (2022) · JOM · doi:10.1007/s11837-021-05094-y · Cited by 10

FUZZY K-NEAREST NEIGHBOR PADA KLASIFIKASI KEMATANGAN CABAI BERDASARKAN FITUR HSV CITRA

Liantoni, F., & Annisa, F. (2018) · JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) · doi:10.29100/jipi.v3i2.851 · Cited by 10

Addressing wander effect in vehicle weight monitoring: An advanced hybrid weigh-in-motion system integrating computer vision and in-pavement sensors

Yang, X., Wang, X., Podolsky, J. H., Huang, Y., & Lu, P. (2024) · Measurement · doi:10.1016/j.measurement.2024.114870 · Cited by 9

Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models

Clero, K., Ed-Diny, S., Achalhi, M., Cherkaoui, M., Harraki, I. E., Fkihi, S. E., Benzakour, I., Soror, T., Rziki, S., Abdelali, H. A., et al. (2025) · Artificial Intelligence in Geosciences · doi:10.1016/j.aiig.2025.100106 · Cited by 9

Potential of color schlieren velocimetry for high-temperature pollutant emission sources and flow characteristics of induced airflow during high-temperature liquid pouring

Rong, J., Huang, Y., Guo, J., Wang, Y., Wang, W., Lu, K., & Guo, S. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108216 · Cited by 9

Emotional modelling and classification of a large-scale collection of scene images in a cluster environment

Cao, J., Li, Y., & Tian, Y. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191064 · Cited by 9

Lawn plant identification and segmentation based on least squares support vector machine and multifeature fusion

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Deep inside the color: How optical microscopy contributes to the elemental characterization of a painting

Galli, A., Caccia, M., Bonizzoni, L., Gargano, M., Ludwig, N., Poldi, G., & Martini, M. (2020) · Microchemical journal (Print) · doi:10.1016/j.microc.2020.104730 · Cited by 8

Research on advanced methods of electrochemiluminescence detection combined with optical imaging analysis for the detection of sulfonamides

Liu, C., Song, D., Yang, Z., Wang, Z., Pan, P., Liu, J., Yang, X., Li, R., Zhu, Z., & Xue, F. (2021) · The Analyst · doi:10.1039/d1an01275d · Cited by 9

Color Feature Extraction of Fingernail Image based on HSV Color Space as Early Detection Risk of Diabetes Mellitus

Kurniastuti, I., Wulan, T. D., & Andini, A. (2021) · International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) · doi:10.1109/icomitee53461.2021.9650161 · Cited by 9

Optimising ovarian tumor classification using a novel CT sequence selection algorithm

Bhuvaneshwari, K. V., Lahza, H., Sreenivasa, B. R., Lahza, H. F. M., Shawly, T., & Poornima, B. (2024) · Scientific Reports · doi:10.1038/s41598-024-75555-2 · Cited by 8

Real-time Engagement Detection from Facial Features

Marqués-Villarroya, S., Gamboa‐Montero, J. J., Bernardino, A. J. M., Gómez, M. M., Castillo, J. C., & Salichs, M. A. (2022) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/icdl53763.2022.9962228 · Cited by 9

Identification and Extracting Method of Exterior Building Information on 3D Map

Shon, D., Noh, B., & Byun, N. (2022) · Buildings · doi:10.3390/buildings12040452 · Cited by 8

Discrete versus Continuous Colour Pickers Impact Colour Selection in Virtual Reality Art-Making

Alex, M., Lottridge, D. M., Lee, J., Marks, S., & Wuensche, B. C. (2020) · Australian Conference on Human-Computer Interaction (OzCHI) · doi:10.1145/3441000.3441054 · Cited by 8

Research on Rapid Detection Methods of Tea Pigments Content During Rolling of Black Tea Based on Machine Vision Technology

Zou, H., Lan, T., Jiang, Y., Yu, X., & Yuan, H. (2024) · Foods · doi:10.3390/foods13233718 · Cited by 7

Computational Scaffolding of Composition, Value, and Color for Disciplined Drawing

Ma, J., Vu, C., Lyubavina, A., Liu, C., & Li, J. (2025) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3746059.3747605 · Cited by 12

Colorimetric analysis of intraoral scans: A novel approach for detecting gingival inflammation

Mahmoud, M. A. H., do Amaral, G. C. L. S., Saraiva, L. M., Holzhausen, M., Mendes, F. M., Pannuti, C. M., Stewart, B., Malheiros, Z., Benítez, C. G., Nakao, L. Y. S., et al. (2025) · Journal of Periodontology · doi:10.1002/jper.24-0389 · Cited by 7

Design and Implementation of Model Autonomous Sentry Gun Using Image Processing and Motion Tracking

Hamidi, E. A. Z., Effendi, M. R., & Asmoro, F. F. (2019) · International Conference on Wireless and Telematics (ICWT) · doi:10.1109/icwt47785.2019.8978245 · Cited by 7

Contaminated Facade Identification Using Convolutional Neural Network and Image Processing

Lee, J., Hong, J., Park, G., Kim, H. S., Lee, S., & Seo, T. (2020) · IEEE Access · doi:10.1109/access.2020.3027839 · Cited by 7

Autonomous Driving of Trackless Transport Vehicles: A Case Study in Underground Mines

Sun, Y., Zhang, L., Liu, J., Xu, Y., & Li, X. (2025) · Sensors · doi:10.3390/s25103189 · Cited by 6

Fast and Robust Building Extraction Based on HSV Color Analysis Using Color Segmentation and GrabCut

Futagami, T., Hayasaka, N., & Onoye, T. (2020) · SICE Journal of Control Measurement and System Integration · doi:10.9746/jcmsi.13.97 · Cited by 6

Color Tuning Using Scanning Optical Tweezers

Yao, B., Yuan, S., Yang, G., & Lei, H. (2023) · Advanced Photonics Research · doi:10.1002/adpr.202300205 · Cited by 6

Correlation between clinical risk factors and tracheal intubation difficulty in infants with Pierre-Robin syndrome: a retrospective study

Liu, Y., Wang, J., & Zhong, S. (2020) · BMC Anesthesiology · doi:10.1186/s12871-020-00997-w · Cited by 6

Quality Evaluation of Kohaku Koi (Cyprinus rubrofuscus) Using Image Analysis

Domasevich, M. A., Hasegawa, H., & Yamazaki, T. (2022) · Fishes · doi:10.3390/fishes7040158 · Cited by 6

SVM based Leaf Disease Classification Assisted with Smart Agrobot for the Application of Fertilizer

Happila, T., Rajendran, A., Ponsami, H. S. D., Dickson, C., Hariharan, S., & Gokulakannan, R. C. (2023) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs56967.2023.10142277 · Cited by 6

Voice Assistant for Visually Impaired People

Chae, J.-G., Jang, J.-W., Kim, D.-W., Jung, S.-J., & Lee, I. H. (2019) · The Journal of Korean Institute of Information Technology · doi:10.14801/jkiit.2019.17.4.131 · Cited by 6

Implementation of Dubin Curves-Based RRT* Using an Aerial Image for the Determination of Obstacles and Path Planning to Avoid Them During Displacement of the Mobile Robot

Tenezaca, B. D., Canchignia, C., Aguilar, W. G., & Mendoza, D. (2019) · Smart innovation, systems and technologies · doi:10.1007/978-981-13-9155-2_17 · Cited by 6

Machine Vision-based Obstacle Avoidance for Mobile Robot

Widodo, N. S., & Pamungkas, A. (2020) · Jurnal Ilmiah Teknik Elektro Komputer dan Informatika · doi:10.26555/jiteki.v5i2.14767 · Cited by 6

Hydrogel-enzyme micropatch array format for chemical mapping: A proof of concept

Huang, L., Chua, Z. Q., Buchowiecki, K., Raju, C. M., & Urban, P. L. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115599 · Cited by 5

Unlocking Visual Attraction: The Subtle Relationship between Image Features and Attractiveness

Sun, Z., Zhang, K., Zhu, Y., Ji, Y., & Wu, P. (2024) · Mathematics · doi:10.3390/math12071005 · Cited by 5

Turbidity of Coconut Oil Determination Using the MAMoH Method in Image Processing

Palananda, A., & Kimpan, W. (2021) · IEEE Access · doi:10.1109/access.2021.3065004 · Cited by 5

Nutritional and phytochemical composition of the red tamarillo grown in Taiwan

Chen, S., Zhang, Q., & Lin, S. (2024) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2024.106258 · Cited by 5

Rapid evaluation of Pixian Douban meju in the tank fermentor Based on the image features and multi‐model analysis

Li, M., Zheng, Y., Mei, X., Chen, Y., Xiao, Z., Xu, Y., Ding, J., Liu, P., Zhu, Q., Liu, Y., et al. (2025) · Journal of Food Science · doi:10.1111/1750-3841.70061 · Cited by 5

Neural networks for optic nerve detection in digital optic fundus images

Constante, P., Gordón, A., Chang, O., Pruna, E., & Escobar, I. (2016) · IEEE International Conference on Automatica · doi:10.1109/ica-acca.2016.7778415 · Cited by 5

Classification and recognition of black tea with different degrees of rolling based on machine vision technology and machine learning algorithms

Zou, H., Yu, X.-L., Lan, T., Du, Q., Jiang, Y., & Yuan, H. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e43862 · Cited by 4

Computer vision with artificial intelligence for a fast, low-cost, eco-friendly and accurate prediction of beer styles and brands

Dutra, J. V. D. S., Salles, M. O., Michel, R. C., & Vale, D. L. (2024) · Analytical Methods · doi:10.1039/d4ay00617h · Cited by 4

Research on adaptive object detection via improved HSA‐YOLOv5 for raspberry maturity detection

Ling, C., Zhang, Q., Zhang, M., & Gao, C. (2024) · IET Image Processing · doi:10.1049/ipr2.13149 · Cited by 4

Working with Color: How Color Quantization Can Aid Researchers of Problematic Information

Lutz, N., Padzensky, J. W., & Schafer, J. S. (2024) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3678884.3681863 · Cited by 4

Smartphone-Enabled Copper(II) Ion Quantification with an Optical Platform and Image Processing Algorithm

Rozak, H., Hidayat, A., Oleszek, S., Ultra, V. U., & Rzeznicka, I. I. (2025) · ACS Omega · doi:10.1021/acsomega.5c00029 · Cited by 4

Design and development of a delta robot system to classify objects using image processing

Cong, V. D., & Phuong, L. H. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v13i3.pp2669-2676 · Cited by 4

Estimating Fluor Emission Spectra Using Digital Image Analysis Compared to Spectrophotometer Measurements

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