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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18545


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18545


    Title: A downstream algorithm based on extended gradient vector flow field for object segmentation
    Authors: 莊政宏;Chuang, Cheng-Hung
    Contributors: 資訊工程學系
    For object segmentation, traditional snake algorithms often require human interaction;region growing methods are considerably dependent on the selected homogeneity criterion and initial seeds;watershed algorithms, however, have the drawback of over segmentation. A new downstream algorithm based on a proposed extended gradient vector flow (E-GVF) field model is presented in this paper for multiobject segmentation. The proposed flow field, on one hand, diffuses and propagates gradients near object boundaries to provide an effective guiding force and, on the other hand, presents a higher resolution of direction than traditional GVF field. The downstream process starts with a set of seeds scored and selected by considering local gradient direction information around each pixel. This step is automatic and requires no human interaction, making our algorithm more suitable for practical applications. Experiments show that our algorithm is noise resistant and has the advantage of segmenting objects that are separated from the background, while ignoring the internal structures of them. We have tested the proposed algorithm with several realistic images (e.g., medical and complex background images) and gained good results.
    Date: 2004-10
    Issue Date: 2012-11-26 13:55:03 (UTC+8)
    Relation: IEEE TRANSACTIONS ON IMAGE PROCESSING;13(10):1379-92.
    Appears in Collections:[資訊工程學系] 期刊論文

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