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Research of Image Retrieval Based on Color and Shape

Author: ZhangHuaWei
Tutor: SunJinGuang
School: Liaoning Technical University
Course: Applied Computer Technology
Keywords: Image retrieval Color moment Canny operator Otsu threshold segmentation method Invariant moment
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 83
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Abstract


Content-based image retrieval technology at home and abroad has been hot spots in the study of the image database. This article describes a comprehensive content-based image retrieval of the underlying visual features - color, texture and shape characteristics’ extraction methods, similar methods of calculation, as well as feedback and segmentation of knowledge.Color and shape as the salient features of the image, are significant to the image retrieval. This paper did an in-depth research on the extraction methods of color and shape features and image segmentation, apply Canny operator with Ostu threshold of the combined image segmentation method to color image retrieval, and then extracted seven Hu invariant moments of the rectangular-shaped; Secondly, use color moment to extract the nine color components of the image; Finally, combine the shape and color characteristics according to combination weight, use similarity matching algorithm to complete image retrieval.In order to verify the use of the segmentation method is feasible, search for the best scale factor to color and shape features as well as find the type of image fit for comprehensive method, this paper used Visual C + + to achieve the image retrieval system, through more than 10,000 images trial, error and sum up, used the precision and recall as a method of evaluation standards, proved the effectiveness of the algorithm.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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