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Hardware Software Co-simulation of Beamlet Transform based Edge Detection Algorithm

D. Selvathi, J. Dharani

Abstract



particularly in the areas of feature detection and feature extraction. Edges are significant local changes of intensity in an image. Edges typically occur on the boundary between two different regions in an image. The problem is that the general edge detectors behave very poorly. In this paper, a Multiscale Beamlet Transform is employed for edge detection. Beamlet Transform is used to extract edges, ridges and curvilinear objects in digital images. These transforms are beyond the wavelet transform in the sense that they retain not only the location and scale, but also directional information, which is essential in the image and is not retained in the wavelet analysis. This paper presents efficient hardware architecture for Beamlet Transform Edge detection algorithm using Xilinx System Generator (XSG). This architecture combines MATLAB, Simulink and XSG. The hardware design is implemented by using Xilinx System Generator, whereas the software part is developed by using Matlab. The parallel computing power of the field programmable gate array (FPGA) is extremely useful in the modern world of demanding
applications like digital image processing and video editing. However, configuring this power can be difficult. So Matlab has created a package called System Generator which allows Xilinx chips to be programmed with the common MatLab programming environment Simulink. Beamlet Transform Edge Detection algorithm achieves a higher SNR, Position accuracy and provides
more complete edge than wavelet transform.

Keywords


Edge Detection, Beamlet Transform, FPGA, Xilinx System Generator (XSG), Wavelet Transform.

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