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標題: 類神經模糊技術於乾癬影像分割之應用
Segmentation of Psoriasis Images Using Neuro-Fuzzy Techniques
作者: 方良慧
Fang, Ling Whang
關鍵字: image segmentation;影像分割;psoriasis image;texture analysi;neuro-fuzzy classifier;乾癬影像;紋理分析;類神經模糊分類器
出版社: 電機工程學系

In this paper, we develop an automatic method for psoriasis image se- gmentation using neuro-fuzzy techniques, which can be used in an therapy evaluation system. Since the psoriasis is a chronic disease, it is important to track the condition of the patient to select proper treatment. The psoriasis images are segmented into normal skin regions and abnormal regions auto-
matically. The areas of each kind of regions of a patient at different moments can then be estimated. This information can be used to give a quantitative measure of the progress of the treatment. The provided information can avoid the variation of the human factor in the evaluation procedure and can offer a objective index for the doctor to select the most suitable treatment for the patient. The essential techniques required include feature extraction and image segmentation (classifi- cation) methods. The 2D histogram of the hue and saturation components of the color image and the fuzzy reduced texture spectrum of the gray-level image are used as the feature vectors to locate the homogeneous regions. Then these regions will be used to train the neuro-fuzzy classifier to obtain a more accurate segmentation. After the image is segmented into normal and psoriasis regions, the area of psoriasis regions can be easily calculated to obtain the information required for the therapy evaluation system. For comparison, we also implement a 2D color clustering algorithm which was used to segment digiti- zed dermatoscopic images. In the experiments, our proposed approach provides better performance.
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