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Research of Image Feature Extraction in Personal Garment Pattern System

Author: ZhouGuangJun
Tutor: LiJiYun
School: Donghua University
Course: Applied Computer Technology
Keywords: Feature Extraction Image Segmentation Edge Detection Image matching
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 160
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Abstract


The personalized clothing styles system is for non - professional users personalized clothing styles recommended and information exchange system . Ordinary non-professional users , the system as the main target different user needs clothing style clothing style and style associated decisions and recommendations . After that, it will complete the interaction with the user by accepting user recommended results , the respective personalized cognitive clothing of different styles and different styles for different users or aesthetic , and as a basis for further make clothing styles and corresponding more of the style associated with the rationalization of personalized decision-making, and recommended to be made closer to the individual needs of the apparel . As clothing styles resources , the collection of modules , feature extraction module's main function is the image of the input character wearing apparel extract out the clothing styles minutiae , and save it as a system for clothing recommended candidate style library . In order to judge various styles of clothing details the features of the standard , the paper first clothing style clothing design experts sample analysis, models to quantify the image and style of the sample . First, edge detection operator to extract image edge feature points , and then by a straight edge feature points in the image and corner detection image is converted to a collection of straight-line segments . Clothing sample graph analysis , develop a style matching rules need to extract image features for various styles characteristic properties and develop extraction rules so that the system can automatically generate style style sample image styles matching and identification standards . When the image input for the characters wearing clothing , the system first to find the location of where the characters in the image by skin color detection , image apparel locate specific positional relationship between the human body and clothing , then the use of adaptive growth threshold seeds growth algorithm divided the clothing area , quantify its segmentation results converted to the same set of line segments , the last image clothing styles attributes according to the style matching rules .

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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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