A Novel Technique for Region-Based Features Similarity for Content-Based Image Retrieval

Abstract

The study of feature extraction and clustering techniques for an image is carried out to find the future scope in the area of image clustering for the real world applications. Nowadays, a huge amount of image data is being collected in various application domains. As clustering approaches group homogeneous data together and also deals with unlabeled data, it is used quite often for accessing the interesting data Experimental results show that the retrieval performance of the proposed algorithm is better in comparison to other state-of-the-art methods.

Image Retrieval based Convolutional Neural Network

“…It implies the roughness and repetition of the texture in image. Statistical approach is easy to implement as compared to other approaches [28]. In 1973 Haralick introduced 14 statistical features.…”