• Kishor V. Ugale
• M. A. Pund
• Ram Deshmukh
• Satish Bahale

Line segments are important when analyzing geometric shapes in images for machine vision applications. In particular this problem also involves a need to extract parameters of line segments in images, such as width and length. Typical feature extraction methods for line detection apply least-square fitting. These methods are in general sensitive to outliers; they require that feature points are clustered. The Hough transform (HT) defines an alternative class of methods. The basic HT does not provide length or width of a detected line segment; it only provides the two normal parameters d and Ɵ of a line. In principle, the HT is capable to detect the length of a line segment. Objective of this paper is to review the various methods based on Hough Transform which can be used to determine the parameters of the lines in an image, especially the length and compare the performance of some selected effective methods from the view point of time and space optimization. Various relevant works have been reviewed and in common what were the major problems faced by HT based methods in determining accurate geometric features and how the research has progressed to eliminate them is described. In the remaining part, three selected methods are compared.

Hough transform, length of segment, width, curve fitting, HT Butterfly

"Comparative Study of Selected HT based Geometric Feature extraction techniques used for Determining Length of a Line segment in an image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.128-139, June-2019, Available :http://www.jetir.org/papers/JETIR1906C22.pdf

"Comparative Study of Selected HT based Geometric Feature extraction techniques used for Determining Length of a Line segment in an image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp128-139, June-2019, Available at : http://www.jetir.org/papers/JETIR1906C22.pdf