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The paper presents a novel technique to segment and extract streets from satellite images. This technique utilizes, for the first time in the known literature, the Maximally Stable Extremal Regions (MSER) algorithm to robustly identify and segment streets from satellite images. The technique extracts dark MSERs and then classifies them based on multiple metrics such as the intensity of the pixels,...
Image segmentation is an essential preprocessing step for many computer vision and image processing applications. Implementing algorithms that handle such images in hardware will speed up the processing task considerably. In this paper, a new robust histogram-based image segmentation ASIC design of a System-on-Chip (SoC) using 65nm technology is presented. With a clock frequency of 289 MHz, the SoC...
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