Abstract: Creating a color image features is an important and vital task, because these features can be used in a color image recognition system, so decreasing the effort of clustering, and decreasing the feature extraction time will lead to better and efficient color images recognition system. In this paper research we will investigate how using color image histogram will enhance the recognition system, without doing any changes in the accuracy and uniqueness of the k-means method of features extraction.
Keywords: Color image, histogram, resolution, features, k-means, cluster, centroid, extraction time, and speed up
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DOI:
10.17148/IJARCCE.2020.9115
[1] Prof. Ziad Alqadi, Dr. Ghazi M. Qaryouti, Prof. Mohammad Abuzalata, Prof. Yousf Eltous, "Enhancing Color Image Clustering using K-Means Method," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.9115
