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Edge of image is one of the most fundamental and significant features. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. With the continuous improvement of remote sensing image, especially the appearance of Digital Aerial Image, edge detection is necessary step to extract information...
A directional-edge-feature-based real-time image recognition system has been developed. By employing a digital-pixel-sensor-embedded feature extraction VLSI processor, the delay due to the image data transfer between the image sensor and the feature extraction circuits, the most serious bottleneck in such systems, has been reduced dramatically. Parallel feature vector-generation and template-matching...
In many embedded systems for video surveillance distinctive features are used for the detection of objects. In this contribution a real-time FPGA implementation of a feature detector, namely the SUSAN algorithm is described. As the original SUSAN algorithm performs poorly on non-synthetic images a significant quality improvement of this algorithm is presented. The hardware accelerator outperforms...
In this paper, a new sampled active contour model (ACM) and its hardware realization method are proposed. The proposed Sampled-ACM is a virtual closed curve with some contour points to extract a specified area in images. Forces, such as "pressure", "attraction", "repulsion" and "vibration factor" work on every contour point of the proposed Sampled-ACM. The proposed...
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