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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29202


    Title: New automatic multi-level thresholding technique for segmentation of thermal images
    Authors: Chang,JS;Liao,HYM;Hor,MK;Hsieh,JW;Chern,MY
    Contributors: 資訊工程研究所
    Keywords: WAVELET TRANSFORM;SELECTION;DIFFUSION
    Date: 1997
    Issue Date: 2010-06-29 20:16:15 (UTC+8)
    Publisher: 中央大學
    Abstract: A new wavelet-based automatic multi-level thresholding technique is proposed. The new technique is a generalized version of the method proposed by Olive [1]. Olive [1] proposed using a set of dilated wavelets to convolve with the histogram of an image. For each scale, a set of thresholds was determined automatically based on the rules he proposed. However, Olive did not provide a systematic way to decide on an exact set of thresholds which corresponds to a specific scale that can lead to the best segmentation result. In this paper, we propose using a cost function as a guide to solve the above problem. Experimental results show that our approach can always automatically select the best scale for performance of multi-level thresholding.
    Relation: IMAGE AND VISION COMPUTING
    Appears in Collections:[資訊工程研究所] 期刊論文

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