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In this paper, we propose an approach for detecting line segments in real-time by merging fixed-size short line segments. In many hardware systems, a Hough Transform has been used for detecting line segments. The Hough Transform is robust to noises, but it requires large memory space, and more space is required for images with higher resolution. Line detection is a primitive task which is frequently...
Recent literature on fast realizations of Connected Component Labeling has proposed single-pass algorithms and architectures that are particularly suited to hardware implementation. These architectures, however, impose input constraints unsuitable for real-time systems that have diverse interface specifications and bandwidth considerations. In this paper we present a streaming Connected Component...
This article describes a new architecture for a parallel, digital image processor which performs several image processing tasks like segmentation, edge detection and noise removal. The architecture and algorithm modifications presented in this paper are aimed for reduction the FPGA area of a pixel, which represents basic image processing unit. The proposed modifications increase the functionality...
The watershed transformation is a popular image segmentation technique for gray scale images. In this paper, we describe an implementation method of a watershed algorithm based on connected components on FPGA. In the watershed algorithm based on connected components, regular memory accesses by raster scans and irregular memory accesses using FIFO and stack are repeated. The irregular memory accesses...
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