DocumentCode :
3225964
Title :
Thin edge detector
Author :
Trujillo, Agustin
Author_Institution :
Dept. de Inf. y Sistemas, Las Palmas de Gran Canaria Univ., Spain
fYear :
1999
fDate :
1999
Firstpage :
1051
Lastpage :
1054
Abstract :
Most edge detectors are based on detecting points in the image with a high gradient value. However, in general, they omit the idea that the edge must be a connected line of pixels. Instead of that, these techniques normally use a global threshold value, to control the quantity of edge points detected. Due to this, many other edge points are detected, but some of them do not really belong to an edge. In this paper we propose a new edge detector, that detects entire pieces of 1-pixel-thick lines. This algorithm is more robust concerning the choice of the threshold value, because it works with the average gradient value of each piece of line. Two previous filters are needed: a contrast process, to enhance the edges, and a morphological denoising to remove noise but without blurring the edges in the image. The proposed algorithm starts from pixels with a high gradient value, and follows neighbor pixels connecting new points
Keywords :
edge detection; filtering theory; gradient methods; image enhancement; mathematical morphology; 1-pixel-thick lines; average gradient value; contrast process; edge enhancement; filters; morphological denoising; thin edge detector; threshold value; Change detection algorithms; Computer vision; Detectors; Electrical capacitance tomography; Filtering; Filters; Image edge detection; Joining processes; Laplace equations; Read only memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
Type :
conf
DOI :
10.1109/ICIAP.1999.797736
Filename :
797736
Link To Document :
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