Linear band detection based on the Euclidean distance transform and a new line segment extraction method

Pattern Recognition

Volumn 34, Issue 9, 2001, Pages 1751-1764

  Jang, Jeong Hun ^a   Hong, Ki Sang ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Base line segment grouping; Euclidean distance transform; Line segment detection; Linear band detection; Modified Hough transform; Ridge detection

Indexed keywords

HOUGH TRANSFORMS; IMAGE SEGMENTATION;

EUCLIDEAN DISTANCE TRANSFORMS;

EDGE DETECTION;

DETECTION METHOD; IMAGE ANALYSIS; PIXEL;

EID: 0035452637     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00103-5     Document Type: Article

References (21)

1. Gray-scale Hough transform for thick line detection in gray-scale images
2. Detection of curvilinear structures using the Euclidean distance transform
3. A computational approach to edge detection
4. Region growing Euclidean distance transforms
5. Ridge points in Euclidean distance maps
6. Euclidean skeletons
7. A survey of the Hough transform
8. Which Hough transform?
9. Probabilistic and non-probabilistic Hough transforms: Overview and comparisons
10. Token-based extraction of straight lines
11. A metric for line segments
12. Hough transform for line recognition: Complexity of evidence accumulation and cluster detection
13. A hierarchical approach to line extraction based on the Hough transform
14. A new curve detection method: Randomized Hough transform (RHT)
15. A probabilistic Hough transform
16. Connective Hough transform
17. A fast Hough transform for segment detection
18. Hough transform modified by line connectivity and line thickness