Detection of solid pigment in dermatoscopy images using texture analysis

Skin Research and Technology

Volumn 6, Issue 4, 2000, Pages 193-198

  Murali, Anantha ^a   Stoecker, William V ^b,c   Moss, Randy H ^d  

^a D2 Technologies   (United States)

^b Stoecker and Associates   (United States)

^c UNIVERSITY OF MISSOURI   (United States)

^d Architectural and Environmental Engineering   (United States)

Author keywords

Dermatoscopy; Image analysis; Melanoma; Solid pigment; Texture

Indexed keywords

PIGMENT;

ALGORITHM; ARTICLE; BENIGN TUMOR; CLINICAL FEATURE; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; EPILUMINESCENCE MICROSCOPY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGING SYSTEM; JUVENILE MELANOMA; MATHEMATICAL COMPUTING; MELANOCYTE; MELANOMA; SKIN CANCER; SKIN DEFECT; SKIN EXAMINATION; SKIN PIGMENTATION; SKIN SURFACE; SKIN TUMOR; SURFACE PROPERTY; TUMOR CLASSIFICATION; VISUAL DISCRIMINATION;

EID: 0033786024     PISSN: 0909752X     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0846.2000.006004193.x     Document Type: Article

References (9)

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2. Die Dermatoskopie. I. Mitteilung
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5. Epiluminescence microscopy: A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists
6. Texture in skin images: Comparison of three methods to determine smoothness
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8. Neighboring gray level dependence matrix for texture classification
9. DullRazor: A software approach to hair removal