PROPOSED ALGORITHM FOR CONTENT BASED IMAGE RECOGNITION USING ENHANCED K-MEANS CLUSTERING ALGORITHM

The content based image retrieval (CBIR) is the well-liked and heart favorite area of research in the field of digital image processing. The key goal of content based image retrieval (CBIR) is to excerpt the visual content of an image directly, like color, texture, or shape. There are several applications of the CBIR technique such as forensic laboratories, crime detection, image searching etc. For the purpose of feature extraction of wellmatched images from the database, a universal CBIR system utilizes texture, color and shape based techniques. In this presented work, we have offered an efficient approach for the content based image retrieval, where images are decomposed using the wavelet transform, it means that the image features are converted in the matrix form and a color feature data set is prepared. In this paper, we are proposing the algorithm with the help of that we can improve the image retrieval.