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3 articles for “Prewitt Operator”
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Hardware/Software Co-Simulation of Gradient-based Edge Detectors: A Comparative Study
Abstract: Edge detection, a segmentation technique, produces an edge map that contains important information about the image. We realized Gradient-based Edge Detection Algorithms in FPGA hardware utilizing Hardware-Software Co-Simulation with the help of Simulink (Mathworks) and System Generator (Xilinx). We explored and utilized different gradient based edge detection operators Sobel-Fieldman, Robert and Prewitt Operator. After comparative analysis, we found both Sobel and Robert operators among the best with hardware realization of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 30–37 Read article
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Analogy between Various Edge Detection Algorithms
Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article
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Fetal Ultrasound Image Segmentation
Abstract: The thesis explains development of a time-efficient method for segmentation in fetal ultrasound images so as to recognize femur contour in fetal ultrasound images and refine its shape. The main objective of the project was to develop segmentation of womb and fetus using fetal ultrasound images. Ultrasound segmentation produces detailed visualization of the underlying anatomy of the fetus in real time which can also recognize dynamically varying structures of the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 34–39 Read article