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Optical Engineering

Shape recognition method using morphological hit-or-miss transform
Author(s): Prabir Bhattacharya; Weibin Zhu; Kai Qian
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Paper Abstract

We present a new shape recognition algorithm for binary images based on the morphological approach. The standard algorithms based on the morphological hit-or-miss transform use block structure patterns, but in many practical situations, this may cause problems because the size of the object is unknown. In the proposed method, we match the corners of the object instead of the block structure pattern. Because most objects have different structure elements for the corners, our method gives a more reasonable approach and the size of the object plays a less significant role in our recognition algorithm than in the standard algorithms. Our method can be easily adapted to recognize the features of different types of objects.

Paper Details

Date Published: 1 June 1995
PDF: 8 pages
Opt. Eng. 34(6) doi: 10.1117/12.203101
Published in: Optical Engineering Volume 34, Issue 6
Show Author Affiliations
Prabir Bhattacharya, Univ. of Nebraska/Lincoln (United States)
Weibin Zhu, Univ. of Nebraska/Lincoln (United States)
Kai Qian, Georgia Southwestern College (United States)

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