An improved image segmentation algorithm based on the maximum class variance method
نویسندگان
چکیده
منابع مشابه
An Improved Image Segmentation Algorithm Based on MET Method
Image segmentation is a basic component of many computer vision systems and pattern recognition. Thresholding is a simple but effective method to separate objects from the background. A commonly used method, Kittler and Illingworth's minimum error thresholding (MET), improves the image segmentation effect obviously. It’s simpler and easier to implement. However, it fails in the presence of skew...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2020
ISSN: 2261-236X
DOI: 10.1051/matecconf/202030903029