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Automated fast recognition and location of arbitrarily shaped objects by image morphology

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2 Author(s)
F. Y. Shih ; Dept. of Comput. Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA ; O. R. Mitchell

Morphological operations are used for segmentation, feature generation and location extraction. A recursive adaptive thresholding algorithm transforms a gray-level image into a set of multiple level regions of objects. A distance transformation algorithm then is used to transform a binary image into the minimum distance from each object point to the object's boundary. This algorithm uses a morphological erosion with a large structuring element which may correspond to Euclidean, city-block, or chessboard distance measures. A shape library database with hierarchical features is automatically generated. The features extracted are the shape number and the skeletal local-maximum points radii and coordinates. Object recognition is achieved by comparing the shape number and the hierarchical radii. Object location is detected by a hierarchical morphological bandpass filter

Published in:

Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on

Date of Conference:

5-9 Jun 1988