DocumentCode
593203
Title
Automatic counting of packaged wafer die based on machine vision
Author
Hsuan-Ting Chang ; Ren-Jie Pan
Author_Institution
Dept. of Electr. Eng., Nat. Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
fYear
2012
fDate
14-16 Aug. 2012
Firstpage
274
Lastpage
277
Abstract
This paper presents a robust method to automatically determine the number of packaged dies in the residual wafer image, in which most dies have been removed and packaged. We propose the die segmentation region detection algorithm based on vertically and horizontally cumulative histograms and die detection algorithm based on YCbCr color space. The abnormal cases of fractional dies in the wafer boundary and dropped dies during packaging are considered in the proposed method as well. In the experimental results, the proposed method achieves 100% accuracy in counting the number of packaged dies in the ten test cases.
Keywords
computer vision; image colour analysis; image segmentation; production engineering computing; wafer level packaging; YCbCr color space; automatic counting; die detection algorithm; die segmentation region detection algorithm; horizontally cumulative histogram; machine vision; packaging; residual wafer image; vertically cumulative histogram; wafer die packaging; Conferences; Gray-scale; Histograms; Image color analysis; Image recognition; Image segmentation; Machine vision; IC packaging; YCbCr color space; die; optical inspection; wafer;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location
Yunlin
Print_ISBN
978-1-4673-2587-5
Type
conf
DOI
10.1109/ISIC.2012.6449759
Filename
6449759
Link To Document