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Research of Feature Exaction in Content-Based Image Retrieval

Author: ChenZuo
Tutor: GuHui；DingWeiLong
School: Zhejiang University of Technology
Course: Computer Applications
Keywords: Content-based image retrieval Feature Extraction Histogram mixed metrics Region of interest Image segmentation based on the transition area
CLC: TP391.3
Type: Master's thesis
Year: 2005
Downloads: 359
Quote: 8
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Abstract


With the rapid development of multimedia technology , computer technology , communication technology and Internet networks , people are increasingly exposed to a variety of image information . How to organize, manage , and use of image - based multimedia information is of great significance , which makes it become one of the most active research focus in the field of multimedia content-based image retrieval . But so far there are still many problems to be solved content - based image retrieval in content-based image retrieval in image feature extraction carried out . The main work includes : 1 . Systematic analysis based image retrieval technology development and the problems faced and discussed the working principle and the key technology of content-based image retrieval . 2 color feature extraction. Proposed a histogram mixed metric method , the cumulative histogram statistics entire image color information , statistical the color central moments of each sub-block to get the color space distribution of information , the introduction of the gray histogram to dilute the color concentration ; also provides a search method based on the region of interest can be retrieved based on the selected region of interest to the local similarity images and contrast changes affect the retrieval results . Image segmentation technology to extract the shape feature . Proposed a segmentation method based on the threshold of the transition zone . Meanwhile, in order to reduce the amount of calculation , this method is traditional segmentation method based on the transition zone is improved by means of segmentation method in view of the transition zone sensitive to noise , the method prior to image segmentation using median filtering the Denoising pretreatment ; corresponding to the peak gray level of the two boundaries of the histogram to determine the shear values ??can be extracted into the more accurate threshold value to thereby obtain a satisfactory segmentation effect .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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