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Improved image segmentation methods revolutionize industrial inspection and public security.

Research on the Image Segmentation Based on Improved Threshold Extractions
Yi Zhang, Zhijun Xia

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Image segmentation is a method used in image processing to separate different areas in an image. This helps in tasks like industrial inspection and security. The study compares three common methods of image segmentation based on thresholds: iterative method, Otsu method, and local threshold segmentation. The results from computer simulations show that these methods produce different outcomes.