Browsing by Author "LEE, JH"

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FUZZY UNCERTAINTY TEXTURE SPECTRUM FOR TEXTURE ANALYSIS
(1995-06-08)
LEE, YG
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LEE, JH
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HSUEH, YC
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交大名義發表
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資訊工程學系
A new method using fuzzy uncertainty, which measures the uncertainty of the uniform surface in an image, is proposed for texture analysis. A grey-scale image can be transformed into a fuzzy image by the uncertainty definition. The distribution of the membership in a measured fuzzy image, denoted the fuzzy uncertainty texture spectrum (FUTS), is used as the texture feature for texture analysis.
GENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSIS
(1995-11-09)
LEE, YG
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LEE, JH
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HSUEH, YC
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交大名義發表
;
資訊工程學系
A new method using a fuzzy hit-or-miss transform recognition procedure, which measures degrees of fit of specified patterns within an image, is proposed for texture analysis. For a given texture, three optimal texture patterns (structuring elements) dynamically generated by genetic algorithms are used to inspect the degrees of fit by using the fuzzy hit-or-miss transform, respectively. The distribution of these degrees of fit, converted into a texture spectrum, is used as the texture feature for texture analysis.
TEXTURE CLASSIFICATION METHOD USING MULTIPLE SPACE-FILLING CURVES
(1994-12-01)
LEE, JH
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HSUEH, YC
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資訊工程學系
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Department of Computer Science
Texture analysis by using the Peano curve does not provide sufficient discriminatory power to classify natural textures. An improved method by simultaneously using several space filling curves to the texture analysis and classification is proposed.
TEXTURE CLASSIFICATION USING MORPHOLOGICAL GRADIENT TEXTURE SPECTRUM
(1994)
LEE, JH
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HSUEH, YC
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資訊工程學系
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Department of Computer Science