DocumentCode
1738767
Title
Adaptive thresholding in dynamic scene analysis for extraction of fine line
Author
Bakar, Syed Ab Rahman Abu ; Green, Roger J.
Author_Institution
Fac. of Electr. Eng., Univ. Teknologi Malaysia, Johor, Malaysia
Volume
2
fYear
2000
fDate
2000
Firstpage
141
Abstract
This paper presents an adaptive threshold method whereby a fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel. The minimum threshold value however is heuristically set to 32. If the percentage difference is greater than 40% then the threshold value will be set to the difference value. This method has been applied in detecting moving objects with fine lines and the results showed that the method was able to pickup straight thin edges that belong to the moving object
Keywords
adaptive signal processing; feature extraction; object detection; adaptive thresholding; dynamic scene analysis; fine line extraction; gray level images; minimum threshold value; moving object detection; one-pixel width lines; pixels; straight thin edges; Adaptive algorithm; Data mining; Image analysis; Image edge detection; Image processing; Image segmentation; Object detection; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2000. Proceedings
Conference_Location
Kuala Lumpur
Print_ISBN
0-7803-6355-8
Type
conf
DOI
10.1109/TENCON.2000.888406
Filename
888406
Link To Document