Search Results - (( programming edge detection algorithm ) OR ( java evolution optimization algorithm ))
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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Implementation of Real-time Simple Edge Detection on FPGA
Published 2005“…The resulting edge detection images showed that a simple edge detection algorithm was implemented on Cyclone II FPGA for real-time image processing.…”
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Semi-automatic cortical boundary detection / Noor Elaiza Abdul Khalid.
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Implementation of real-time simple edge detection on FPGA
Published 2007“…The resulting edge detection images showed that a simple edge detection algorithm was implemented on Cyclone II FPGA for real-time image processing. …”
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The application of Hough Transform for corner detection
Published 2006“…As simple lines can be expressed using only one parameter, Hough Transform can detect them quickly. Other edge detectors have some problems when marking edge points around corners. …”
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Drone Based People Counter And Tracking Using Unique Id Using Opencv Python
Published 2020“…The algorithm is developed so that it is capable to detect various objects by applying a bounding box on the frame image. …”
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Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection
Published 2019“…The FBTS integrated with automated edge-preserving regularization algorithm is implemented in C++ programming language executed in parallel computing. …”
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Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
Published 2021“…The vessels will be selected interactively on the developed graphical user interface (GUI). The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. …”
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IMAGE PROCESSING ALGORITHMS ON FPGA
Published 2007“…The chosen image processing algorithms are implemented on two systems which are Color Filtering System and Edge Detection System. …”
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Final Year Project -
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Furthermore, colour threshold analysis and edge detection algorithms are redesigned exclusively to refine the two-dimensional coefficients into a more meaningful low-level representation. …”
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AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING EDGE DETECTION
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Final Year Project -
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Vision-Based Autonomous Vehicle Driving Control System
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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Vision-based autonomous vehicle driving control system
Published 2005“…The important contribution of this study is the development of vehicle lane detection and tracking algorithm based on colour cue segmentation, Canny edge detection and Hough transform. …”
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Detection of Microcalcification Using Mammograms
Published 2004“…The mammogram is first digitized and processed by the program developed to detect the microcalcification deposited in the breast. …”
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Final Year Project -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent
Published 2009“…This project also implements colored object recognition technique using its color and size without edge detection process along with a self-calibration technique for detecting object location without any parameter of the camera by using only two reference points. …”
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