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
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;
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
DOI :
10.1109/TENCON.2000.888406
