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The Research of Color Image Retrieval Based on Human Visual

Author: WuJunFeng
Tutor: WangXiangYang
School: Liaoning Normal University
Course: Computer Software and Theory
Keywords: Content-based image retrieval Color complexity Block Region of interest
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 27
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Abstract


With the growing popularity of multimedia technology rapid development of Internet technology , we have a growing number of digital image data , the type and quantity of image data is growing , whether military or civilian equipment, every day will have a considerable number of digital images these digital image contains a lot of useful information . From the vast image database in order to be able to quickly and accurately find the desired content , content-based image retrieval ( Content Based ImageRetrieval , CBIR ) technology has been widespread concern , and has become a hot research topic of the international academic community . The paper around some of the key technology in the content - based image retrieval conducted in-depth research , the main contents include: ( 1) In order to further improve the color histogram - based image retrieval system efficiency , characteristics of human visual perception , combined with local image block color histogram image retrieval method based on visual weight . The method first sub - block processing of the image , and calculates a color histogram of the image sub-block ; then combine to reflect the complexity of local area change the color of the pixels to calculate the the visual weight value of the image sub-block ; Finally, the visual weights on sub-block color histogram were weighted based on the weighted color histogram for image retrieval . The algorithm is capable of accurately and efficiently find the user you need a color image , and has good precision and recall . (2) based on multi-scale space theory , combined with the local image characteristics , proposed a histogram of color image retrieval algorithm based on the color of the region of interest . Firstly, the use of multi-scale Harris detection operator to extract from the original color image stability point of interest ; visual importance of the region of interest is then determined according to the characteristic scale adaptive ; the last tectonic regions of interest color histogram and image retrieval . The algorithm has better precision and recall . In particular, this algorithm lighting , sharpening, the fuzzy noise attack has better robustness .

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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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