نتایج جستجو برای: canny edge detector

تعداد نتایج: 168641  

1987
David A. Castelow David W. Murray Guy L. Scott Bernard F. Buxton

A relaxation algorithm for the computation of optic flow at edge elements (edgels) is presented. Flow is estimated only at intensity edges of the image. Edge elements, extracted from an intensity image, are used as the basis for the algorithm. A matching strength or weight surface is computed around each edgel and neighbourhood support obtained to enhance the matching strength. A principal mome...

2009
John F. Canny

The purpose of edge detection in general is to significantly reduce the amount of data in an image, while preserving the structural properties to be used for further image processing. Several algorithms exists, and this worksheet focuses on a particular one developed by John F. Canny (JFC) in 1986 [2]. Even though it is quite old, it has become one of the standard edge detection methods and it ...

Journal: :Journal of Multimedia 2014
Xiao-hua Wang Ka-zhong Deng Hua-chao Yang

The accurate Synthetic Aperture Radar (SAR) image registration is important for exact analyses of mine deformation and ecological environment change. Currently, many image registration algorithms have been proposed, but these registration algorithms cannot be directly applied to SAR image, so an integrated registration approach is presented in this paper. Firstly, it is the coarse matching with...

2010
Salem Saleh Al-amri

In this paper, we present methods for edge segmentation of satellite images; we used seven techniques for this category; Sobel operator technique, Prewitt technique, Kiresh technique, Laplacian technique, Canny technique, Roberts technique and Edge Maximization Technique (EMT) and they are compared with one another so as to choose the best technique for edge detection segment image. These techn...

2012
Muammer Catak

Received Jul 5, 2012 Revised Aug 8, 2012 Accepted Aug 15, 2012 In this paper, a new one-stage nonlinear directional derivative scheme has been proposed for edge detection. The directional edge detection method was applied to gray and color images. The results were compared to three wellknown conventional edge detectors namely Canny, Prewitt, and Sobel. According to results, the directional deri...

Journal: :IJESDF 2013
Mahsa Shakeri Mansour Jamzad

By expansion of digital multimedia and networking technology, the problem of ownership protection has become increasingly important. Digital watermarking is an efficient way for copyright protection of digital images. Traditional watermarking techniques degrade the quality of host image by embedding a watermark logo. Facing this problem, a new watermarking approach called zero-watermarking has ...

Journal: :CoRR 2013
Joyeeta Singha Karen Das

In this paper, we have proposed a system based on KL Transform to recognize different hand gestures. The system consists of five steps: skin filtering, palm cropping, edge detection, feature extraction, and classification. Firstly the hand is detected using skin filtering and palm cropping was performed to extract out only the palm portion of the hand. The extracted image was then processed usi...

2001
Qian Wang Chew Lim Tan

The National Archives of Singapore keeps a large volume of historical handwritten documents. One common problem with the archives is that over the years, ink sipped through the pages of these documents such that characters on the reverse side become visible and interfere with the characters on the front side. This paper addresses this problem and develops a novel algorithm to extract clear text...

2015
Bhagwati Prasad Kunti Mishra

A method to study the changes in the retinal vasculature of diabetic patients is proposed. Generalized fractal dimension followed by canny edge detection method is used to classify diabetic people from healthy one. Statistical analysis is also done to verify the classification results.

Journal: :Appl. Soft Comput. 2003
Lily R. Liang Carl G. Looney

Our fuzzy classifier detects classes of image pixels corresponding to gray level variation in the various directions. It uses an extended Epanechnikov function as a fuzzy set membership function (FSMF) for each class where the class assigned to each pixel is the one with the greatest fuzzy truth of membership. This classification is done first, after which a competition is run as a second step ...

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