An improved teaching–learning based robust edge detection algorithm for noisy images
نویسندگان
چکیده
منابع مشابه
An improved teaching–learning based robust edge detection algorithm for noisy images
This paper presents an improved Teaching Learning Based Optimization (TLO) and a methodology for obtaining the edge maps of the noisy real life digital images. TLO is a population based algorithm that simulates the teaching-learning mechanism in class rooms, comprising two phases of teaching and learning. The 'Teaching Phase' represents learning from the teacher and 'Learning Phase' indicates l...
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The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...
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In this paper, an improved DWT based edge detection algorithm for noisy images has been proposed. The proposed edge detection method works efficiently on images influenced by noise and is able to differentiate between noise and real edges, thus detecting the actual edges. In the proposed algorithm the DWT edge detector separates detail coefficients at the time of decomposition, thus it has to e...
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the edges of an image define the image boundary. when the image is noisy, it does not become easy to identify the edges. therefore, a method requests to be developed that can identify edges clearly in a noisy image. many methods have been proposed earlier using filters, transforms and wavelets with ant colony optimization (aco) that detect edges. we here used aco for edge detection of noisy ima...
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ژورنال
عنوان ژورنال: Journal of Advanced Research
سال: 2016
ISSN: 2090-1232
DOI: 10.1016/j.jare.2016.04.002