Segmentation of hyperspectral images for the detection of rotten mandarins

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

Volumn 5112 LNCS, Issue , 2008, Pages 1071-1080

  Gomez Sanchis J ^a   Camps Valls, G ^b   Molto E ^a   Gomez Chova L ^b   Aleixos, N ^c   Blasco, J ^b  

^a INSTITUTO VALENCIANO DE INVESTIGACIONES AGRARIAS IVIA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Feature selection; Fruit inspection; Hyperspectral imaging; Pixel classification

Indexed keywords

ATMOSPHERICS; CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; DIESEL ENGINES; DIGITAL IMAGE STORAGE; DISCRIMINANT ANALYSIS; FOOD PROCESSING; FRUIT JUICES; GENETIC ALGORITHMS; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; IMAGING SYSTEMS; MATHEMATICAL OPERATORS; OPTOELECTRONIC DEVICES;

BAND SELECTION TECHNIQUES; CLASSIFICATION AND REGRESSION TREES (CART); CORRELATION ANALYSIS; HEIDELBERG (CO); HYPERSPECTRAL IMAGE (HSI); HYPERSPECTRAL IMAGING SYSTEMS; INTERNATIONAL CONFERENCES; LINEAR DISCRIMINANT ANALYSIS (CLDA); LOW CONTRAST; MUTUAL INFORMATION (MI); PACKING LINES; PIXEL CLASSIFICATION; ULTRAVIOLET (UV); ULTRAVIOLET ILLUMINATION; VISIBLE AND NEAR INFRARED (VNIR);

IMAGING TECHNIQUES;

EID: 47749088297     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69812-8_107     Document Type: Conference Paper

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