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Principle of image edge detection system and advantages of FPGA technique in processing speed and exploitation period are discussed briefly and feasibility based on Sobel operator to implement image edge detection is analyzed. Coprocessor module of image edge detection with EDA+FPGA technique is presented to meet the real-time request of image edge detection. Synthesis and waveform simulation prove...
Edge detection is a fundamental operation in video and image processing. For real time processing, hardware implementation of edge detection becomes necessary. This study designs an edge detection IP (Intellectual Property) core, to be readily used by other applications that need such functionality. The core is very fast and produces good detection quality. The paper also suggests that more research...
Corner detection is an important step in the image processing of machine vision. An improved algorithm is proposed in this paper following the analysis on the existing corner detection algorithms and on the localization precision and computation efficiency in the Harris corner detection algorithm. In this algorithm, a large number of irrelevant points are rejected by statistical analyzing the pixel...
Vertical edge detection is a very important task for image processing-based applications. One of the most common techniques which depends on this task is car license plate detection system. In this work, two contributions are presented and discussed. The first one, a vertical edge detection algorithm (VEDA) is proposed in order to extract vertical edges. The second one, an implementation of VEDA is...
Detecting and segmenting moving object is an important subject in computer visual analysis. Firstly, this paper discusses algorithms of detecting moving target from static background in video sequences. Secondly, as the existing mixture Gaussian models can't solve the problems such as ghost and real-time application, a new method based on moving edge detection of difference between adjacent frames...
In this paper, we propose a novel method that combines improved chain codes based edge tracking (ICCBET) with Hough transform (HT) to successfully detect the airport runway in real time. ICCBET primarily removes the short and curving lines to reduce the pixels and confirms the approximate orientation to shorten the angle range HT processes in later. Furthermore, through using pyramid during HT stage,...
Canny edge detector treats edge detection as a signal processing problem to design an optimal edge detector and has been widely used for edge detection. However, the traditional Canny edge detector has two shortcomings. First, the threshold of the algorithm needs to be set by manual. Secondly, the algorithm is very time consuming and can not be implemented in real time. A new self-adapt threshold...
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