Content Based Image Retrieval with Feedback Technique

In this Book there is a proposition of the Novel Idea of Image Retrieval techniques with the help of Color Histogram, Texture, and Edge Histogram Descriptor. A combination of three feature extraction methods namely Color Histogram, texture, and edge histogram descriptor. There is a provision to add new features in future for better retrieval efficiency. The image properties analyzed in this work are by using computer vision and image processing algorithms. For color the histogram of images are computed, for texture co occurrence matrix based entropy, energy, etc, are calculated and for edge density it is Edge Histogram Descriptor (EHD) that is found. Color attributes like the mean value, the standard deviation, and the image bitmap of a color image are used as the features for retrieval. In addition, the entropy based on the gray level co-occurrence matrix and the edge histogram of an image is also considered as the texture features. Experimental results and comparisons demonstrate the feasibility of the proposed approach.