EVALUATION OF ROBUST COLOR RECOGNITION ALGORITHMS
Samuel Kosolapov
Pages: 83-93
Published: 16 Nov 2022
Views: 416
Downloads: 39
Abstract: A number of color recognition algorithms are known - from algorithms using classic HSL/HSV space to modern AI algorithms. In some practically important situations, the unavoidable electronic noise of the digital camera makes color recognition non-reliable, for example, in dark regions and in over-bleached regions. A new robust approach is proposed to mark problematic regions and, depending on parameters selected by the user, to exclude those problematic regions from the later analysis. In order to enable a human observer and to third-party applications to recognize problematic regions (in which color recognition is not reliable), it was decided to present results as a true color map, in which problematic regions have a strong color component (for example: red, green, or blue). The paper provides some results of applying the proposed algorithm for synthetic and real-life images.
Keywords: image processing, color recognition, hue, robust processing
Cite this article: Samuel Kosolapov. EVALUATION OF ROBUST COLOR RECOGNITION ALGORITHMS. Journal of International Scientific Publications: Materials, Methods & Technologies 16, 83-93 (2022). https://www.scientific-publications.net/en/article/1002510/
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