Content based image retrieval a comparative based analysis for feature extraction approach

Ashwini Vinayak Bhad, Komal Ramteke
2015 2015 International Conference on Advances in Computer Engineering and Applications  
Content Based Image Retrieval is a significant and increasingly popular approach that helps in the retrieval of image data from a huge collection. Image representation based on certain features helps in retrieval process. Here we are using an efficient image retrieval technique which uses dynamic dominant color, texture and histogram features of an image. As a first step an image can be uniformly divided into coarse partitions. The centroid of each partition will be selected as its dominant
more » ... r after the above coarse partition. A texture representation for image retrieval based on GLCM (Gray Level Co-occurrence Matrix) can be used. Although a precise definition of texture is untraceable, the notion of texture generally refers to the presence of a spatial pattern. Color histogram is the most commonly used color presentation. Color histogram yields better retrieval accuracy. Histogram of an image represents relative frequency of occurrence of various gray levels. It is a spatial domain technique. After that we are applying Euclidean distance, Neural Network and target search methods algorithm for retrieval of images from the database and making a comparison based approach between them to see which method helps in fast retrieval of images in terms of distance and time.
doi:10.1109/icacea.2015.7164712 fatcat:n4qllv3vwbg57luzvomz4xvaiq