Download PDF by Rafael Grompone von Gioi: A Contrario Line Segment Detection

By Rafael Grompone von Gioi

The trustworthy detection of low-level snapshot constructions is an outdated and nonetheless hard challenge in machine imaginative and prescient. This ebook leads a close travel throughout the LSD set of rules, a line section detector designed to be absolutely automated. in accordance with the a contrario framework, the set of rules works successfully with no the necessity of any parameter tuning. The layout standards are completely defined and the algorithm's sturdy and undesirable effects are illustrated on actual and artificial photographs. the problems concerned, in addition to the techniques used, are universal to many geometrical constitution detection difficulties and a few attainable extensions are discussed.

Show description

Read Online or Download A Contrario Line Segment Detection PDF

Best computer vision & pattern recognition books

New PDF release: Remote Sensing Image Processing

Earth commentary is the sphere of technological know-how desirous about the matter of tracking and modeling the methods on this planet floor and their interplay with the ambience. The Earth is constantly monitored with complicated optical and radar sensors. the photographs are analyzed and processed to convey precious items to person clients, corporations and public administrations.

New PDF release: Spatial Reasoning and Planning: Geometry, Mechanism, and

Spatial reasoning and making plans is a center constituent in robotics, photographs, computer-aided layout, and geographic details structures. After a evaluation of earlier paintings within the comparable components, Liu and Daneshmend current the following a unified framework for qualitative spatial illustration and reasoning, which permits the iteration of options to spatial difficulties the place the geometric wisdom is vague.

Conflict Resolution and its Context: From the Analysis of - download pdf or read online

This ebook reviews how technological strategies can be utilized to relieve the present kingdom of criminal platforms, with their clogged up courtrooms and inefficient clash solution tools. It stories the shortcomings and downsides of conventional and substitute clash answer tools and turns to man made Intelligence for problem-solving suggestions and recommendations.

Get Calculus for Cognitive Scientists: Higher Order Models and PDF

This ebook bargains a self-study application on how arithmetic, computing device technological know-how and technological know-how will be profitably and seamlessly intertwined. This e-book specializes in variable ODE types, either linear and nonlinear, and highlights theoretical and computational instruments utilizing MATLAB to give an explanation for their strategies. It additionally exhibits how you can resolve cable versions utilizing separation of variables and the Fourier sequence.

Extra info for A Contrario Line Segment Detection

Sample text

11; a total of γ different values for p are tried. The total number of pixels in the rectangle is denoted by n and the number of p-aligned pixels is denoted by k (we drop r and x when they are implicit to simplify the notation). Then, the number of false alarms (NFA) associated with the rectangle r is NFA(r) = (NM)5/2 γ · B(n, k, p) , where N and M are the number of columns and rows of the image (after scaling), and B(n, k, p) is the tail of the binomial distribution, B(n, k, p) = n ∑ j=k n j p (1 − p)n− j .

As these two thin rectangles are aligned one to the other up to a tolerance τ , all the pixels of both rectangles are grouped into one line-support region. In LSD this problem is handled by detecting problematic line-support regions and cutting them into two smaller regions, hoping to cut the region at the right place to solve the problem. The criterion is described below. Once a region is cut, if the new one is accepted, the rectangle associated is recomputed and the algorithm is resumed. The detection of this “angle problem” is based on the density of aligned pixels in the rectangle.

J All in all, for each rectangle being evaluated and given a precision p, the numbers k and n are counted, and then the NFA value is computed by n NFA(r) = (NM)5/2 γ · ∑ j=k n j p (1 − p)n− j . 2) The rectangles with NFA(r) ≤ ε are validated as detections. As stated before and following Desolneux, Moisan, and Morel [19, 22], we set ε = 1 once for all. Here we will only show an experiment illustrating the stability of the result relative to ε value. 9 shows the input image and the result of LSD with ε = 1, ε = 10−1, and ε = 10−2 , respectively.

Download PDF sample

Rated 4.63 of 5 – based on 15 votes