WAVELET BASED COLOR HISTOGRAM IMAGE RETRIEVAL
Rajshekhar Ghogge · 2014
In various application domains such as education, crime prevention, commerce, and biomedicine, the volume of digital data is increasing rapidly. The problem appears when retrieving the information from the storage media. Content-based image retrieval systems aim to retrieve images from large image databases similar to the query image based on the similarity between image features. We present a CBIR system that uses the color feature as a visual feature to represent the images. We use the images from the WANG database that is widely used for CBIR performance evaluation. The database contains color images, so we use the RGB color space to represent the images. So we make use of the content based image retrieval, using features like texture and color, called WBCHIR (Wavelet Based Color Histogram Image Retrieval).The texture and color features are extracted through wavelet transformation and color histogram and the combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster retrieval method on a WANG image database containing 1000 general-purpose color images.