The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Integer-based accurate conversion between RGB and HSV color spaces
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The latest version introduces significant improvements in architecture and training methods, making it versatile choice for a wide range of computer vision tasks, especially in complex and dynamic environments like public transport vehicles [69,76].”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [69]
In the citing paper
“The YOLO v11 model [69] provides a compromise between precision and time of evaluation.”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [69]
Citations
Cites
Smith, A. R. (1978) · ACM SIGGRAPH Computer Graphics · doi:10.1145/965139.807361 · Cited by 927
Smith, A. R. (1978) · Proceedings of the 5th annual conference on Computer graphics and interactive techniques · doi:10.1145/800248.807361 · Cited by 859
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
Paschos, G. (2001) · IEEE Transactions on Image Processing · doi:10.1109/83.923289 · Cited by 310
HSV color space based segmentation of region of interest in satellite images
Ganesan, P., Rajini, V., Sathish, B. S., & Shaik, K. B. (2014) · International Conference on Control, Instrumentation, Communication and Computational Technologies · doi:10.1109/iccicct.2014.6992938 · Cited by 63
An efficient detection method for rare colored capsule based on RGB and HSV color space
Liu, F., Liu, X., & Yi, C. (2014) · IEEE International Conference on Granular Computing (GrC) · doi:10.1109/grc.2014.6982830 · Cited by 36
Poynton, C. A. (1997) · Cited by 35
A fog level detection method based on image HSV color histogram
Liu, C., Lu, X., Ji, S., & Geng, W. (2014) · IEEE International Conference on Progress in Informatics and Computing · doi:10.1109/pic.2014.6972360 · Cited by 35
Rashno, A., Sadri, S., & SadeghianNejad, H. (2015) · CSI International Symposium on Artificial Intelligence and Signal Processing · doi:10.1109/aisp.2015.7123522 · Cited by 33
Research works printed but not linked: 1
- Sarifuddin M, Missaoui Rokia. A new perceptually uniform color space with associated color similarity measure for content-based image and video retrieval. In: Proc. of ACM SIGIR 2005 workshop on multimedia information retrieval (MMIR 2005); 2005. p. 1–8.
Cited by
Manakitsa, N., Maraslidis, G. S., Moysis, L., & Fragulis, G. F. (2024) · Technologies · doi:10.3390/technologies12020015 · Cited by 286
Sun, Y., Gu, X., Sun, K., Hu, H., Xu, M., Wang, Z., Tu, K., & Pan, L. (2016) · LWT · doi:10.1016/j.lwt.2016.10.006 · Cited by 89
Real-time underwater image enhancement: a systematic review
Moghimi, M. K., & Mohanna, F. (2021) · Journal of Real-Time Image Processing · doi:10.1007/s11554-020-01052-0 · Cited by 88
Technologies and Innovative Methods for Precision Viticulture: A Comprehensive Review
Ferro, M. V., & Catania, P. (2023) · Horticulturae · doi:10.3390/horticulturae9030399 · Cited by 90
Tomato Plant Leaves Disease Classification Using KNN and PNN
Balakrishna, K., & Rao, M. K. (2019) · International Journal of Computer Vision and Image Processing · doi:10.4018/ijcvip.2019010104 · Cited by 76
Metadata
- Authors
- Chernov, V., Alander, J., & Bochko, V.
- Affiliations
- University of Vaasa (FI)
- Corresponding author
- Chernov, Vladimir
- Venue
- Computers & Electrical Engineering
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 46
- Pages
- 328-337
- ISSN
- 0045-7906 (ISSN-L)
- OpenAlex
- W1163754207
- Cited by
- 172
- References
- 26
- Citations by year
- 2026: 8 · 2025: 26 · 2024: 29 · 2023: 22 · 2022: 20 · 2021: 16 · 2020: 18 · 2019: 16 · 2018: 11 · 2017: 3 · 2016: 3
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Computers & Electrical Engineering (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Color Science and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Numerical Methods and Algorithms
- Keywords
- RGB to HSV conversion, color space conversion, integer arithmetic, look-up table, color representation, computational efficiency, memory usage
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Integer-based accurate conversion between RGB and HSV color spaces. https://app.cochat.ai/papers/10.1016/j.compeleceng.2015.08.005
- The paper
- Chernov, V., Alander, J., & Bochko, V. (2015). Integer-based accurate conversion between RGB and HSV color spaces. Computers & Electrical Engineering. https://doi.org/10.1016/j.compeleceng.2015.08.005
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
