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    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/29202


    題名: New automatic multi-level thresholding technique for segmentation of thermal images
    作者: Chang,JS;Liao,HYM;Hor,MK;Hsieh,JW;Chern,MY
    貢獻者: 資訊工程研究所
    關鍵詞: WAVELET TRANSFORM;SELECTION;DIFFUSION
    日期: 1997
    上傳時間: 2010-06-29 20:16:15 (UTC+8)
    出版者: 中央大學
    摘要: 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.
    關聯: IMAGE AND VISION COMPUTING
    顯示於類別:[資訊工程研究所] 期刊論文

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