A Review of Content Based Image Classification Using Color Clustering Technique Approach

Content of image such as color texture and dimension are used for process for image retrieval and classification. The classification of image needed to mange increases multimedia data in internet. The Varity of different image search by efficiently need a process of image classification. Image classification performs on lower content of image. Feature clustering play an important role in image classification as making of grouping of different feature according to their extraction process. In this paper we review of image classification technique used for color content based classification. The color feature extraction implied with different color model such as HSV, YCbCr and derived color process of feature extraction technique. Color histogram features for RGB, CMYK, Lab, YUV, YCBCR, HSV, HVC and YIQ color spaces, are used for image classification. The extraction of color feature used MPEG-7 feature descriptor. Keywords— Image classification, Decision Tree, Support Vector Machine, Feature Extraction, Machine Learning