Improved watershed transform for tumor segmentation: Application to mammogram image compression

Expert Systems with Applications

Volumn 39, Issue 4, 2012, Pages 3950-3955

  Hsu, Wei Yen ^a  

^a TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Competitive Hopfield neural network (CHNN); Image segmentation; Improved watershed transform; Mammogram; Tumor; Vector quantization

Indexed keywords

AUTOMATIC IMAGE SEGMENTATION; CANNY EDGE DETECTORS; COMPETITIVE HOPFIELD NEURAL NETWORK; COMPRESSION RATES; IMPROVED WATERSHED TRANSFORM; LOSSLESS COMPRESSION; MAMMOGRAM; PRIOR INFORMATION; REGION SEGMENTATION; SECOND PROCEDURES; STORAGE EFFICIENCY; TUMOR BOUNDARY; TUMOR SEGMENTATION; WATERSHED TRANSFORM;

DIGITAL IMAGE STORAGE; HOPFIELD NEURAL NETWORKS; LANDFORMS; MAMMOGRAPHY; NEURAL NETWORKS; TUMORS; VECTOR QUANTIZATION; WATERSHEDS; X RAY SCREENS;

IMAGE SEGMENTATION;

EID: 82255162537     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.148     Document Type: Article

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