Identification and Measurement of Fiber Glass Particles in Electron Microscopy Using a High Order Correlation Process

Yáñez-Suárez, Oscar; Azimi-Sadjadi, M.R.

doi:10.1007/978-1-4615-5947-4_191

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1999

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Unsupervised clustering in Hough space for identification of partially occluded objects

Yáñez-Suárez

Azimi-Sadjadi

1999

IEEE Trans. Pattern Anal. Machine Intell.

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AbstractÐAn automated approach for template-free identification of partially occluded objects is presented. The contour of each relevant object in the analyzed scene is modeled with an approximating polygon whose edges are then projected into the Hough space. A structurally adaptive self-organizing map neural network generates clusters of collinear and/or parallel edges, which are used as the basis for identifying the partially occluded objects within each polygonal approximation. Results on a number of cases under different conditions are provided.

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Unsupervised clustering in Hough space for identification of partially occluded objects

Yáñez-Suárez

Azimi-Sadjadi

1999

IEEE Trans. Pattern Anal. Machine Intell.

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Automated analysis of complex scenes of airborne fiberglass preparations for scanning electron microscopy imagery

Yáñez-Suárez

Azimi-Sadjadi

Proceedings of International Conference on Image Processing

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Identification and Measurement of Fiber Glass Particles in Electron Microscopy Using a High Order Correlation Process

Cited by 2 publications

References 1 publication

Unsupervised clustering in Hough space for identification of partially occluded objects

Unsupervised clustering in Hough space for identification of partially occluded objects

Automated analysis of complex scenes of airborne fiberglass preparations for scanning electron microscopy imagery

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