Edge based technique to estimate number of clusters in k-means color image segmentation

Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

Volumn 2, Issue , 2010, Pages 117-121

  Patil, R V ^a   Jondhale, K C ^b  

^a SSVPS BSD College of Engineering   (India)

^b Mahatma Gandhi Mission Charitable Trust   (India)

Author keywords

Edge line clustering; Euclidean distance; K means; Phase congruency

Indexed keywords

COLOR IMAGE SEGMENTATION; COLOR SIMILARITY; EDGE LINES; EDGE-BASED TECHNIQUE; EUCLIDEAN DISTANCE; INPUT DATAS; K-MEANS; K-MEANS ALGORITHM; MULTIPLE CLASS; NOVEL METHODS; NUMBER OF CLUSTERS; PHASE CONGRUENCY; UNSUPERVISED CLUSTERING ALGORITHM;

CLUSTERING ALGORITHMS; COLOR; COMPUTER SCIENCE; EDGE DETECTION; INFORMATION TECHNOLOGY;

IMAGE SEGMENTATION;

EID: 77958538501     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2010.5563647     Document Type: Conference Paper

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