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Image retrieval based on color and shape features

Author: ChengTao
Tutor: HouYuQing
School: Northwestern University
Course: Communication and Information System
Keywords: Image Retrieval Distance histogram Color Moment Geodesic active contour models Hu invariant moments
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 250
Quote: 1
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Abstract


With the increasingly rich images and other multimedia resources , traditional retrieval methods can no longer meet the search needs , in order to facilitate image retrieval , content-based image retrieval technology came into being . Based on the analysis concluded based content retrieval technology based on color features , texture features and shape features three detailed analysis of the existing methods of feature extraction . Build a practical image retrieval system . On this basis , a new image retrieval algorithm based on color and shape features . The main contents are as follows : First of all , in terms of the image feature extraction , respectively, of color , texture and shape of the three image features analysis and research , and several common feature extraction . Secondly, a significant point of interest combined with color moment and distance histogram for image retrieval algorithm is proposed based on the study of color characteristics , the method will be a point of interest as users concerned about the image of the main visual clues , combined with the color feature image Retrieval . Including significant interest point detection distance histogram and color moment features extracted three steps , both the use of local color feature points of interest , and consider the spatial distance between the point of interest relations , to overcome the traditional color moment there is no space location information defects. The experimental results show that the method is simple to implement , and effectively improve the efficiency of the image retrieval proposed new algorithm for image retrieval based on shape feature . The First use of the the GAC model in partial differential equations to extract the outline of the image , Hu invariant moments calculated on the basis of the outline of the image , as the image feature descriptors for image retrieval . Numerical Implementation by the discussion of the Gaussian function , and the difference computing , simplifying the smoothing preprocessing of the image and the image gradient is calculated to improve the speed of operation . Experiments show that this method has the scale , rotation invariance .

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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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