Defect Detection of Biochip with Low Contrast Image
Date Issued
2016
Date
2016
Author(s)
Chiang, Cheng-Lung
Abstract
In recent years, biotech industry, regarded as one of the key industries, has been developed rapidly. According to the survey made by TrendForce, biotech industry will account for 14% of GDP in Taiwan, and the market of biochip will be about 26 billion USD in 2020. Biochip technology is an important technology of biotech industry. Although many companies pursue high quality biochips, some of these companies still depend on human eyes to inspect defects, which causes lots of personnel cost and testing personnel making mistakes due to fatigue. If Automatic Optical inspection could be apply to quality control of biochips, it will not only reduce the cost but also improve the effectiveness and the accuracy of inspection. In this research, the edges of different features are not obvious because of the contrast is very low, making it hard to set threshold to segment different features. This thesis proposes a novel algorithm for biochips with low contrast image, using several image processing techniques based on thresholding、edge detection、hough transform for image segmentation, and local thresholding for defect detection. The algorithm improves the success rate and reduces the time cost of defect detection.
Subjects
defect detection
biochip
low contrast
algorithm
Type
thesis
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