Use of the Hough transformation to detect lines and curves in pictures

Abstract

Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. ABSTRACTHough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. In this paper we point out that the use of angle-radius rather than s lope-intercept parameters simplifies the computation further. We also show how the method can be used for more general curve fi tting, and give alternative interpretations that explain the source of its efficiency.

Estimation of Muscle Fiber Orientation in Ultrasound Images Using Revoting Hough Transform (RVHT)

“…In 19 comparison with the traditional method, the new algorithm was more capable of 20 handling with highly noisy data, and could avoid the aliasing problem, i.e., reporting 21 multiple lines instead of single expected line. The results of this study suggested that 22 Introduction 8 Ultrasound imaging has been widely used to assess human muscles in both static and 9 dynamic conditions. In recent years, it has been employed to measure the quantitative information.…”

“…first located the global maximum in the HT accumulator matrix, which corresponded 8 to the most dominant collinear feature points globally, using the standard HT; then the 9 pixels close to the detected line were removed from the edge map, the HT 10 accumulator matrix was calculated again, i.e. revoting, and a new line was detected; 11 the iteration was repeated until the predefined termination conditions were satisfied.…”

“…In recent years, it has been employed to measure the quantitative information. However, it is difficult to directly use these methods for the images with 8 high noise levels, such as ultrasound images with significant speckle noises. 9 10 In this study, we presented an improved HT method to identify the major muscle 11 fascicles orientations in musculoskeletal ultrasound images, which may contain 12 significant speckle noises.…”

A feasability study of color flow doppler vectorization for automated blood flow monitoring

“…B-mode and Doppler signals were separated through green channel subtraction. The region of interest and the color scale were then automatically detected using the Hough lines ridge detection algorithm [6]. The target vessel was isolated using a two-pass connected component algorithm.…”

3D Bicipital Groove Shape Analysis and Relationship to Tendopathy

“…To establish correspondence, we compute the center and radius of the best-fit sphere to points sampled on the humeral head using the Hough transform. 15 The Hough Transform yields a score for each of a large number of candidate spheres, centered at different locations and with different radii. The score for a given sphere is proportional to the number of humeral head points through which its surface passes.…”