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Blob analyzation-based template matching algorithm for LED chip localization.
- Source :
-
International Journal of Advanced Manufacturing Technology . Oct2017, Vol. 93 Issue 1-4, p55-63. 9p. 3 Color Photographs, 1 Black and White Photograph, 7 Diagrams, 1 Chart, 1 Graph. - Publication Year :
- 2017
-
Abstract
- During the testing and sorting of LED chips, traditional methods do not exclude the polycrystalline and fragmentary LED chips from the normal chips well. The purpose of this paper is to propose a new algorithm to solve this problem. The algorithm consists of three steps. Firstly, present a simple but efficient image segmentation method to get blobs. Secondly, analyze the blobs to exclude abnormal blobs and predict the pose (position and orientation) of the potential object based on the pose of the minimum enclosing rectangle (MER) of each remained blob. Finally, according to the predicted poses, locate the LED chips precisely in the originally captured image based on gradient orientation features. Experiments show that the algorithm is not only robust to illumination variation but also can locate the LED chips and exclude the polycrystalline and fragmentary chips efficiently. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02683768
- Volume :
- 93
- Issue :
- 1-4
- Database :
- Academic Search Index
- Journal :
- International Journal of Advanced Manufacturing Technology
- Publication Type :
- Academic Journal
- Accession number :
- 125694863
- Full Text :
- https://doi.org/10.1007/s00170-015-7638-5