4 publications
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A Study on OpenMP and Irregular ProgrammingBy Kalyan Kumar Jena, Anisur Rahman, Sasmita Mishra, S. N. Mishra
Abstract: Programmers need better, more reliable techniques to build parallel programs. In the task-parallel programming paradigm, the programmer defines independent pieces of work, called tasks that may run in parallel. Geometric algorithms are wonderful examples for programming, because they are deceptively easy to do with your eyes, yet much harder to implement for a machine. The goal of parallel algorithm design is to develop parallel computational methods that run very fast …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 1, 2018 · pp. 32–39 Read article →
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel ApproachBy Sasmita Mishra
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article →
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An Experimental Analysis Using P-S-M Approach for Edge Detection of Color ImagesBy Sasmita Mishra
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Prewitt-Sobel-Morphological (PSM) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 18–23 Read article →
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SMS: An Improved Approach Specifically for Edge Detection of Gray-Scale ImagesBy Sasmita Mishra
Abstract: Abstract Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Sobel-Morphological-Sobel (SMS) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 2, 2015 · pp. 16–20 Read article →