An improved content based image retrieval using three region colour, straight-line and outline signatures of the image

The vast growth of Internet and digital contents of Internet creates much interest on automated image indexing and retrieval techniques. Most commercial Content Based Image Retrieval systems use color histograms as one of the features. In this work, we have prepared combined color histograms for three regions (top, bottom and middle) of the image. The combination of those histograms will indirectly include the space information within it. Besides this, straight-line signatures and outline sketch signatures from the image are extracted. The average precision is used as a metric to evaluate the performance of the system. Experiments were successfully implemented on 1000 images of SIMPLIcity database using MAT Lab. The performance of our method is compared with four other previous methods Integrated Region Matching[l], Fuzzy Integrated Region Matching [2], Color Salient Points and shape features [3] and Interactive CBIR using Ripplet Transform and Fuzzy Relevance Feedback Mechanism[4] which used the same data set and evaluation method. According to the arrived results, the performance of the proposed Three Region Color, Straight-Line and Outline Sketch Signatures based CBIR system was significantly better than other compared methods.