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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4069


    Title: Automatic Shoe-Pattern Boundary Extraction by Image Processing Techniques
    Authors: Ming-Yi Lai
    Contributors: Department of Computer Science and Information Engineering
    Keywords: shoe-pattern digitization;image segmentation;boundary extraction
    Date: 2006
    Issue Date: 2009-11-18 21:13:50 (UTC+8)
    Publisher: Asia University
    Abstract: A footwear designer digitizes shoe patterns to extract their boundaries, once he finishes 3D shoe-model design, last-bottom flattening, and shoe-pattern making. Shoe-pattern boundaries are then imported to cutting machines to cut material into shoe-pattern shapes. In the shoe-pattern making process, a footwear designer may draw many arcs, lines and pigments on a shoe pattern. Therefore, a shoe pattern has smudges, stains, and marker pen drawings on its surface. It results in the difficulty of automatically digitizing and extracting a shoe-pattern boundary. This study aims to develop an effective image processing method to automatically extract the boundary of a shoe pattern. In the study, we first use a histogram thresholding technique to segment out a shoe pattern from the scanned input image. Then boundary extraction is applied on the segmented image to detect and smooth the shoe-pattern boundary. Finally, the proposed method is tested and its performance is evaluated. Experimental results indicate that the proposed method is good for automatic shoe-pattern boundary extraction.
    Appears in Collections:[資訊工程學系] 博碩士論文

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