A modified Hough transform for line detection and its performance

Chutatape, O.; Guo, Linfeng

doi:10.1016/s0031-3203(98)00140-x

Cited by 69 publications

(24 citation statements)

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“…For this purpose, we use the Hough transform. The Hough transform is widely used to detect straight lines in an image [6,4,2]. In our application, we first identify all the straight lines in the image.…”

Section: Bending Measurementmentioning

confidence: 99%

An Online System for Detecting Bending in a Pallet Car

Pouramini¹

2016

IJCA

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Image processing techniques are widely used to detect defects in industrial equipment. In this paper, an online system is presented to detect bending in pallet cars of a travelling grate conveyor used in sintering machines. If bending in several pallet cars exceeds a specified limit, it can stop the production line. Therefore, an early and precise diagnosis is required. The system consists of a camera in a specific position to monitor the pallet cars and provide an online video. A method is presented to detect and extract an appropriate image of a pallet car from this video. The image is then processed to detect bending of the pallet car's middle frame and measure the degree of bending. Particularly, edge detection methods and Hough transform are used to locate and measure the curvature. The experimental results show a precision of 98% and a recall of 100% for the detection method. General TermsImage Processing

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Section: Bending Measurementmentioning

confidence: 99%

An Online System for Detecting Bending in a Pallet Car

Pouramini¹

2016

IJCA

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“…Therefore, real-time applications need faster modified methods. Chutatape & Guo (1999) proposed a modified version of the Hough transform which is utilized by Kim et al (2006) for road sign detection following the extraction of edges from image data by means of the Canny operator. Barrile et al (2007) detect shapes based on the standardized Hough transform.…”

Section: Further Approaches For the Detection And Classification Of Rmentioning

confidence: 99%

Automated 3d Road Sign Mapping With Stereovision-Based Mobile Mapping Exploiting Disparity Information From Dense Stereo Matching

Cavegn

Nebiker

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents algorithms and investigations on the automated detection, classification and mapping of road signs which systematically exploit depth information from stereo images. This approach was chosen due to recent progress in the development of stereo matching algorithms enabling the generation of accurate and dense depth maps. In comparison to mono imagery-based approaches, depth maps also allow 3D mapping of the objects. This is essential for efficient inventory and for future change detection purposes. Test measurements with the mobile mapping system by the Institute of Geomatics Engineering of the FHNW University of Applied Sciences and Arts Northwestern Switzerland demonstrated that the developed algorithms for the automated 3D road sign mapping perform well, even under difficult to poor lighting conditions. Approximately 90% of the relevant road signs with predominantly red, blue and yellow colors in Switzerland can be detected, and 85% can be classified correctly. Furthermore, fully automated mapping with a 3D accuracy of better than 10 cm is possible.

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“…In particular, Canny's edge-detection algorithm [29] and the Hough transform [30], [31] are applied to look for rigid bodies. The approach is similar to the one used in [15].…”

Section: People Countingmentioning

confidence: 99%

Video Security for Ambient Intelligence

Snidaro

Micheloni

Chiavedale

2005

IEEE Trans. Syst., Man, Cybern. A

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Abstract-Moving toward the implementation of the intelligent building idea in the framework of ambient intelligence, a video security application for people detection, tracking, and counting in indoor environments is presented in this paper. In addition to security purposes, the system may be employed to estimate the number of accesses in public buildings, as well as the preferred followed routes. Computer vision techniques are used to analyze and process video streams acquired from multiple video cameras. Image segmentation is performed to detect moving regions and to calculate the number of people in the scene. Testing was performed on indoor video sequences with different illumination conditions.

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A modified Hough transform for line detection and its performance

Cited by 69 publications

References 0 publications

An Online System for Detecting Bending in a Pallet Car

An Online System for Detecting Bending in a Pallet Car

Automated 3d Road Sign Mapping With Stereovision-Based Mobile Mapping Exploiting Disparity Information From Dense Stereo Matching

Video Security for Ambient Intelligence

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