Image segmentation schema for low-level computer vision

Pattern Recognition

Volumn 14, Issue 1-6, 1981, Pages 267-273

  Asano, Tetsuo ^a   Yokoya, Naokazu ^b  

^a OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

^b Electrochemical Laboratory ^*  (Japan)

Author keywords

Image segmentation; Low level computer vision; Nearest neighbor; Region growing; Relative similarity; Relative threshold

Indexed keywords

NEAREST NEIGHBOR; REGION GROWING ALGORITHMS; RELATIVE SIMILARITY;

PATTERN RECOGNITION SYSTEMS;

EID: 0019716820     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(81)90071-6     Document Type: Article

References (8)

1. Scene analysis using regions
2. Segmentation of pictures and maps through functional approximation
3. Affinity: a relative approach to region finding
4. A graph-theoretic approach to image segmentation
5. Picture segmentation by a direct split-and-merge procedure
6. Boundary and object detection in real world image
7. Region growing: childhood and adolescence
8. Image segmentation schema based on a concept of relative similarity