Content-Based Image Retrieval Based on Integrating Region Segmentation and Colour Histogram
Duraisamy Yuvaraj1 and Shanmugasundaram Hariharan2
1Department of Computer Science and Engineering, M.I.E.T Engg College, India
2Department of Computer Science and Engineering, T.R.P Engg College, India
Abstract: Developments in multimedia technology, increasing number of image retrieval functions and capabilities has led to the rapid growth of CBIR techniques. Colour histogram could be compared in terms of speed and efficiency. We have presented a modified approach based on a composite colour image histogram. A major research perspective in CBIR emphasize on matching similar objects based on shape, colour and texture using computer vision techniques in extracting image features. The colour histogram is perhaps the most popular one due to its simplicity. Image retrieval using colour histogram perhaps has both advantages and limitations. This paper presents some recommendations for improvements to CBIR system using unlabelled images. The experimental results presented using Matlab software significantly shows that region based histogram and colour histogram were effective as far as performance is concerned.
Keywords: Image analysis, CBIR, retinal imaging, gray scale and semantic description.