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Oct 6, 2011 · This multi-dimensional HT (MHT) technique can be applied to enhance the detection of targets in random clutter backgrounds through the application of track-before-detect (TBD) processing. The Hough transform (HT) algorithm detects straight-line features in two-dimensional data.
- L. R. Moyer, P. Lamanna
- 2011
In this study, a new Multi-Dimensional Hough Transform technique is proposed for the detection of dim targets in radar data. Multi-Dimensional Hough Transform is a Track-Before-Detect method that fuses Hough Transform results obtained on (x-t), (y-t) and (x-y) domains.
- Gozde Sahin, Mubeccel Demirekler
- 2014
- Last time: Grouping
- Fitting: Main idea
- Fitting lines: Hough transform
- Polar representation for lines
- Pros
Bottom-up segmentation via clustering To find mid-level regions, tokens General choices -- features, affinity functions, and clustering algorithms Example clustering algorithms Mean shift and mode finding: K-means, Mean shift Graph theoretic: Graph cut, normalized cuts Grouping also useful for quantization Texton histograms for texture within local...
Choose a parametric model that best represents a set of features Membership criterion is not local Can’t tell whether a point belongs to a given model just by looking at that point Three main questions: What model represents this set of features best? Which of several model instances gets which feature? How many model instances are there? Computati...
Given points that belong to a line, what is the line? How many lines are there? Which points belong to which lines? Hough Transform is a voting technique that can be used to answer all of these questions.
Issues with usual (m,b) parameter space: can take on infinite values, undefined for vertical lines. d : perpendicular distance from line to origin : angle the perpendicular makes with the x-axis
All points are processed independently, so can cope with occlusion, gaps Some robustness to noise: noise points unlikely to contribute consistently to any single bin Can detect multiple instances of a model in a single pass
Hough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. This paper points out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further.
Basic Hough transform algorithm d. Initialize H[d, θ]=0. for each edge point I[x,y] in the image for θ = [θmin to θmax ] // some quantization θ d = x cos θ + y sin θ H[d, θ] += 1. Find the value(s) of (d, θ) where H[d, θ] is maximum. The detected line in the image is given by d = x cos θ + y sin θ.
Nov 5, 2020 · Hough Based Line Detectors. Hough transform (HT) is originally devised by Hough to detect straight lines from bubble chamber photographs. The algorithm is then extended and generalized to localize arbitrary shapes, e.g. ellipses and circles, from digital images.
Mar 1, 2015 · In 1962 Hough earned the patent for a method 1], popularly called Hough Transform (HT) that efficiently identifies lines in images. It is an important tool even after the golden jubilee year of exi...
