FPGA Implementation of the Morphological Operator Pecstrum for Real Time Image Recognition Applications. Cortes, J., M., R., Carballido, J., M., Alarcon-Aquino, V., Moreno, M., A., & Cedeno, E., M., F. In SOMI XXIV, 2009.
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Paper Website abstract bibtex
Paper Website abstract bibtex Morphological image processing is a nonlinear theory and technique to quantitatively describe shape‐oriented operations in a digital image. The morphological operators are described by combinations of a basic set of numerical manipulations between an image A and a small object B, called a structuring element, which can be seen as a probe that scans the image and modifies it according to some specified rule. An important morphological operator is the pattern spectrum or pecstrum, defined through the morphological operations erosion and dilation with the same structuring element applied sequentially. This operator decomposes the target image in morphological components according to the shape and size of the structuring element, providing a quantitative analysis of the morphological content of the image. Although it presents excellent properties as a shape extractor, with invariance to translation and rotation, pecstrum has not been extensively used because it might be computationally intensive in some applications, however, the available current hardware resources overcome this disadvantage. In this work, an implementation of the pecstrum operator using a FPGA NexysII, Xilinx, Spartan 3E, is presented. The system is currently under test in some projects based on real time image recognition, such as biometric and cytology applications.
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abstract = {Morphological image processing is a nonlinear theory and technique to quantitatively describe shape‐oriented operations in a digital image. The morphological operators are described by combinations of a basic set of numerical manipulations between an image A and a small object B, called a structuring element, which can be seen as a probe that scans the image and modifies it according to some specified rule. An important morphological operator is the pattern spectrum or pecstrum, defined through the morphological operations erosion and dilation with the same structuring element applied sequentially. This operator decomposes the target image in morphological components according to the shape and size of the structuring element, providing a quantitative analysis of the morphological content of the image. Although it presents excellent properties as a shape extractor, with invariance to translation and rotation, pecstrum has not been extensively used because it might be computationally intensive in some applications, however, the available current hardware resources overcome this disadvantage. In this work, an implementation of the pecstrum operator using a FPGA NexysII, Xilinx, Spartan 3E, is presented. The system is currently under test in some projects based on real time image recognition, such as biometric and cytology applications.},
bibtype = {inproceedings},
author = {Cortes, Juan Manuel Ramirez and Carballido, Jorge Martinez and Alarcon-Aquino, V and Moreno, Miguel Angel and Cedeno, Emmanuel Morales Flores},
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