Line Detection by Hough transformation
ثبت نشده
چکیده
When images are to be used in different areas of image analysis such as object recognition, it is important to reduce the amount of data in the image while preserving the important, characteristic, structural information. Edge detection makes it possible to reduce the amount of data in an image considerably. However the output from an edge detector is still a image described by it’s pixels. If lines, ellipses and so forth could be defined by their characteristic equations, the amount of data would be reduced even more. The Hough transform was originally developed to recognize lines [5], and has later been generalized to cover arbitrary shapes [3] [1]. This worksheet explains how the Hough transform is able to detect (imperfect) straight lines.
منابع مشابه
Development Hough transform to detect straight lines using pre-processing filter
Image recognition is one of the most important field in image processing that in recent decades had much attention .Due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.One of the most important aspe...
متن کاملDevelopment Hough transform to detect straight lines using pre-processing filter
Image recognition is one of the most important field in image processing that in recent decades had much attention .Due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.One of the most important aspe...
متن کاملCrop-row detection algorithm based on Random Hough Transformation
It is important to detect crop rows accurately for field navigation. In order to spray on line, a variable rate spray system should detect the crop center line accurately. Most existing detection algorithms are slow to detect crop rows because of the complicated calculation. The gradient-based Random Hough Transform algorithm could improve the calculation speed and reduce the computation effect...
متن کاملDetection of Vanishing Points Using Hough Transform for Single View 3D Reconstruction
Single View Reconstruction (SVR) is a technique to reconstruct three-dimensional scenes or objects of interest from a single image. Unlike traditional (multi-view) close-range photogrammetry, SVR does not require camera parameters for obtaining 3D coordinates of the targets. A common approach for SVR is to establish the 3D metrology based on vanishing points from a single image with perspective...
متن کاملDetection of Microaneurysms in Retinal Angiography Images Using the Circular Hough Transform
This paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. In the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. Then microaneurysms are identified by circular Hough transform. In the existing methods of dete...
متن کامل