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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/87225


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/87225


    Title: A Novel Chicken Chorioallantoic Membrane Image Vessel Detection Detector Based on Statistic Color Distribution
    Authors: 張真誠;CHang, Chin-Chen;*;Pai, Pei-Yan;Pai, Pei-Yan;Meng-Hsiun, T;Tsai, Meng-Hsiun;Li, Chia-Ming;Liu, Chia-Ming
    Contributors: 資訊工程學系
    Keywords: Chicken chorioallantoic membrane image;Canny edge detector;Genetic algorithm;Box-counting dimension;Vessel segmentation
    Date: 2014-10
    Issue Date: 2014-12-30 11:39:30 (UTC+8)
    Abstract: This paper proposes an automated method to detect the blood vessels on a
    chicken chorioallantoic membrane image, and computes the BCD of the image based on
    the extracted blood vessels. It is helpful to enhance the effect of medication in treating or
    inhibiting cancer. This method first employs Canny edge detector to find out the possible
    edge pixels of the blood vessel. Next, vessels can be detected by means of the linear formula
    originated from genetic algorithm. Experimental results show that it is able to recognize
    almost vessels and BCD error ratio between 2.4% and 3.4%.
    Relation: Journal of Information Hiding and Multimedia Signal Processing
    Appears in Collections:[資訊工程學系] 期刊論文

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