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Enhancement of Z-H Algorithm to Improve Thinning Rate: A Review


Affiliations
1 Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India
 

Thinning of binary image processing is a fundamental and important technology. Most of the existing image thinning algorithms are based on processing the same picture multiple times, and deleting the edge points layer by layer. For an amount of information in the image, the image thinning processing is relatively slow. To address this problem, an improved thinning algorithm is proposed in this paper. In particular, this algorithm uses the depth of each point to find the deepest points, only considers the deepest points and its neighboring points to determine the point can be deleted. The thinning processing time is decreased, and the skeleton is smooth, clear and continuous.

Keywords

Binary Image, Thinning, Depth of the Edge.
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  • Enhancement of Z-H Algorithm to Improve Thinning Rate: A Review

Abstract Views: 185  |  PDF Views: 4

Authors

Sarabjeet Kaur
Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India
Seema Baghla
Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India
Sunil Kumar
Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, India

Abstract


Thinning of binary image processing is a fundamental and important technology. Most of the existing image thinning algorithms are based on processing the same picture multiple times, and deleting the edge points layer by layer. For an amount of information in the image, the image thinning processing is relatively slow. To address this problem, an improved thinning algorithm is proposed in this paper. In particular, this algorithm uses the depth of each point to find the deepest points, only considers the deepest points and its neighboring points to determine the point can be deleted. The thinning processing time is decreased, and the skeleton is smooth, clear and continuous.

Keywords


Binary Image, Thinning, Depth of the Edge.