Measuring Straight Line Segments Using HT Butterflies

Measuring Straight Line Segments Using HT Butterflies

This paper addresses the features of Hough Transform (HT) butterflies suitable for image-based segment detection and measurement. The full segment parameters such as the position, slope, width, length, continuity, and uniformity are related to the features of the HT butterflies. Mathematical analysis and experimental data are presented in order to demonstrate and build the relationship between ...

Structure and motion from straight line segments

A method to determine both the camera location and scene structure from im age straight segment correspondences is presented The proposed method considers the nite segment length in order to use stronger constraints than do those that use the in nite line that supports the image segment The constraints between image segments involve a weak pairing between image segment midpoints This al lows de...

Low-level Grouping of Straight Line Segments

In this paper we present a formalism for the formation of self consistent, hierarchical, "Low-Level" groupings of pairs of straight line segments from which all higher level groupings may be derived. Additionally, each low-level grouping is associated with a "Quality" factor, based on evidential reasoning, which reflects how much the groupings differ from mathematically perfect ones. This forma...

Digital straight line segments and curves

A neural network structure for detecting straight line segments

A new method for detecting one-pixel wide vertical, horizontal and diagonal line segments in binary images, is presented. It is based on using four slabs of neural networh, each of which is composed of a set layers. Each layer consists of a number of neurons that is determined by the slab type. The whole image is used as input to each slab, and the infomation processing in each slab occurs in p...