Poultry skin tumor detection in hyperspectral reflectance images by combining classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4633 LNCS, Issue , 2007, Pages 1289-1296

  Xu, Chengzhe ^a   Kim, Intaek ^a   Kim, Moon S ^b  

^a Myong Ji University   (South Korea)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; IMAGE CLASSIFICATION; PRINCIPAL COMPONENT ANALYSIS; TUMORS;

DETECTING TUMORS; KERNEL DISCRIMINANT ANALYSIS (KDA);

MEDICAL IMAGING;

EID: 37849049378     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74260-9_114     Document Type: Conference Paper

References (10)

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2. Kong, S.G., Chen, Y.R., Kim, I., Kim, M.S.: Analysis of Hyperspectral Fluorescence Images for Poultry Skin Tumor Inspection. Applied Optics. 43(4), 824-833 (2004)
3. Fletcher, J.T., Kong, S.G.: Principal Component analysis for Poultry Tumor Inspection using Hyperspectral Fluorescence Imaging. In: Proceedings of the International Joint Conference on Neural Networks 2003, Portland, Oregon. Doubletree Hotel-Jantzen Beach, vol. 1, pp. 149-153 (2003)
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