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, Objective results vs subjective evaluations on Color distribution of two images

, Objective results vs subjective evaluations on Color distribution of two images

Source publication
Figure 1, Gaussian blurs on the original image (open source) and their...
Figure 2, Output of the algorithm: color palette histogram and pixels...
Figure 3, Objective results vs subjective evaluations on Color...
Dominant color and Image color composition retrieval from complex images
Conference Paper
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  • Nov 2020
A fast and simple color classification algorithm was developed based on k-means++ algorithm for quick color analysis of complex images. The algorithm treats Gaussian blurred CIELAB version of the original image to segment the scene in clusters of six colors with the highest representation in the image. It identifies the colors with the help of ISCC...
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Context 1
... objective and subjective results show agreement in the overall color distribution, and particularly in the dominant color finding for all six images. The Figure 3 illustrates the similarity/dissimilarity of the objective results and the subjective evaluation for each color category and two images. The objective results are similar in proportion to the subjective color distribution. ...