Programmable Device Circuits and Systems

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FPGA Based Implementation of Image Segmentation with Optimized Adaptive Median Filter


Affiliations
1 Sinhgad College of Engineering, Pune, India
2 Marathwada Mitra Mandal's College of Engineering, Pune, India
     

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FPGA (Field Programmable Gate Array) is utilized to realize the image segmentation. We describe a newfangled method for segmentation of 2-D imagery that uses resource optimized adaptive median filter for image enhancement. A pipelined implementation on FPGA for this algorithm is designed. Sobel operator is used for edge detection. Processed results of test images are presented to illustrate the performance capabilities of the proposed method. Comparison table and resource summaries are provided.

Keywords

FPGA, Image Segmentation, Sobel-Operator, Median, Adaptive Median Filter (AMF).
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  • FPGA Based Implementation of Image Segmentation with Optimized Adaptive Median Filter

Abstract Views: 274  |  PDF Views: 1

Authors

Chetan S. Deokar
Sinhgad College of Engineering, Pune, India
V. B. Baru
Sinhgad College of Engineering, Pune, India
Dhiraj M. Dhane
Marathwada Mitra Mandal's College of Engineering, Pune, India

Abstract


FPGA (Field Programmable Gate Array) is utilized to realize the image segmentation. We describe a newfangled method for segmentation of 2-D imagery that uses resource optimized adaptive median filter for image enhancement. A pipelined implementation on FPGA for this algorithm is designed. Sobel operator is used for edge detection. Processed results of test images are presented to illustrate the performance capabilities of the proposed method. Comparison table and resource summaries are provided.

Keywords


FPGA, Image Segmentation, Sobel-Operator, Median, Adaptive Median Filter (AMF).