Development of Retrieval System using Color from Multi-Segments and Shape features from Images as Combination
R Rajkumar1, M V Sudhamani2

1Mr. R Rajkumar*, Research Scholar-VTU, Asst. Professor, Information Science &Engg., RNS Institute of Technology, Bengaluru, India.
2Dr.M.V.Sudhamani Professor &HoD, Department of Information Science &Engg., RNS Institute of Technology, Bengaluru, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 4410-4417 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1291109119/2019©BEIESP | DOI: 10.35940/ijeat.A1291.109119
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Abstract: The world of digital information has been generous to produce large data. The task of finding similar images in such a vast repository in real-time is very challenging. In this paper, Content Based Retrieval System is proposed to retrieve similar images with a novel approach of combining the image features like color and shape. The work includes extraction of color feature from images by dividing them into five significant portions, which emphasizes on center portion of an image where object may reside. This process is carried out and represented using color histograms. Next, shape features are extracted using Hu – moments for the entire image. Later, by combining these two features, similar image retrieval is done based on a query. Various trials of retrieval have been carried out with different categories and results are tabulated. These results are compared with existing works and shows high performance.
Keywords: CBIR, Color, Histogram, Hu-moments, Precision, Recall.