Morphological methods in image and signal processing
Morphological methods in image and signal processing
A multiscale morphological approach to local contrast enhancement
Signal Processing
Morphological Image Processing: Architecture and VLSI Design
Morphological Image Processing: Architecture and VLSI Design
Nonlinear Filters for Image Processing
Nonlinear Filters for Image Processing
Computer and Robot Vision
A reconfigurable data-localised array for morphological algorithms
FPL '97 Proceedings of the 7th International Workshop on Field-Programmable Logic and Applications
Fast Adaptive Image Processing in FPGAs Using Stack Filters
FPL '98 Proceedings of the 8th International Workshop on Field-Programmable Logic and Applications, From FPGAs to Computing Paradigm
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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This paper describes the implementation of the real time local image contrast enhancement method. The system is based on Virtex FPGA chip and enhances the angiocardiographic data using the modified mathematical morphology multiscale TopHat transform. The morphological TopHat transform proved its effectiveness but the direct real time pipeline implementation of the multiscale version requires too many memory blocks. The author proposes a slight modification of the algorithm and presents satisfactory image contrast enhancement results and an efficient FPGA implementation. Proposed pipeline architecture uses the structural element decomposition and employs the Virtex BlockRam modules effectively. The processing kernel realises the contrast enhancement for the 512 × 512 image data with 8 bits/pixel representation in the real time in one XCV-800 Virtex chip.