Denoising-based clustering algorithms for segmentation of low level salt-and-pepper noise-corrupted images

IEEE Transactions on Consumer Electronics

Volumn 56, Issue 4, 2010, Pages 2702-2710

  Sulaiman, Siti Noraini ^a   Isa, Nor Ashidi Mat ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

clustering; image segmentation; salt and pepper

Indexed keywords

ADAPTIVE SEGMENTATION; CLUSTERING; CLUSTERING-BASED; CONVENTIONAL CLUSTERING; DE-NOISING; FUZZY C MEAN; IMAGE PROCESSING APPLICATIONS; K-MEANS; LOW LEVEL; NOISE DETECTION; NOISY IMAGE; POST PROCESSING; REDUCING NOISE; REGIONS OF INTEREST; SALT-AND-PEPPER NOISE; SEGMENTATION METHODS; SEGMENTATION PROCESS; SEGMENTATION TECHNIQUES;

IMAGE SEGMENTATION; NOISE POLLUTION CONTROL;

CLUSTERING ALGORITHMS;

EID: 78651404460     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2010.5681159     Document Type: Article

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