Paper Title:
Tool Cutting Edge Line Detection Based on Improved Hough Transform
  Abstract

In view of the inherent limitations of classical Hough transform in the detection of line, an improved algorithm of randomized Hough transform is offered in this paper. The feature point sets are segmented based on the connected component labels in this algorithm. The elements of various point sets are stored in sequence so as to reducing the invalid samples. By using a valid line detection area and a dynamic storage management, the temporary storage units are gradually reducing with the iterative process. The speed of the line detection and the accuracy of identification can be improved, the storage space can be reduced, the computational complexity can be cut down and some unnecessary calculations can be avoided by using this algorithm. However, it still has the characteristics of the classical Hough transform that it is not sensitive to noise. The line edge where the cutting tool is on can be pinpointed. To achieve the vision-based mode of tool wear state, it can accurately detect rake and flank face of the cutting tool, and can effectively remove the influence to the tool wear detection from the BUILT-UP EDGE in cutting process. By the validation of testing examples, the algorithm has high speed, low memory occupation and high accuracy.

  Info
Periodical
Edited by
Bo Zhao, Guanglin Wang, Wei Ma, Zhibo Yang and Yanyan Yan
Pages
59-65
DOI
10.4028/www.scientific.net/KEM.455.59
Citation
P.Y. Li, Y. Li, J. M. Zheng, D. Zhang, C.Y. Hao, "Tool Cutting Edge Line Detection Based on Improved Hough Transform", Key Engineering Materials, Vol. 455, pp. 59-65, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ji Gang Wu, Kuan Fang He, Bin Qin
Abstract:Aiming at the subpixle edge detection of speckle in autofocus for micro-machine vision, a novel accurate subpixel edge detection algorithm...
228
Authors: Ravinder Kumar, Pravin Chandra, M. Hanmandlu
Chapter 7: Machining
Abstract:This paper presents a fast and reliable algorithm for fingerprint verification. Our proposed fingerprint verification algorithm is based on...
888
Authors: Xue Feng Wu, Yu Fan
Chapter 6: Mechatronics
Abstract:A new algorithms for parameters of an image irregular boundary circle parameters is presented, which is based on “Curve-Approximate Method”...
639
Authors: Fang Jie Yu, Xin Luan, Da Lei Song, Xiu Fang Li, Hong Hong Zhou
Chapter 7: Other Measurement Methods and Its Application
Abstract:This paper presents a novel sub-pixel corner detection algorithm for camera calibration. In order to achieve high accuracy and robust...
713
Authors: Yan Wei Wang, Si Qing Zhang, Bing Lin, Hong Liang, Yan Ming Pan
Chapter 4: Modeling, Automation and Related Themes
Abstract:Feature Point Extraction Method of X-ray Image Based on Scale Invariant is proposed in this paper for industrial X-ray image with low...
667