MATLAB Implementation of Adaptive Threshold Algorithm
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This article discusses how to implement an adaptive threshold algorithm using MATLAB and demonstrates how to call the adaptive threshold function. The adaptive threshold algorithm automatically adjusts image thresholds based on different regions of the image, thereby improving image quality. This algorithm is widely applied in image processing fields such as digital image processing, computer vision, and medical image processing. Therefore, learning how to write and call adaptive threshold algorithms is highly beneficial.
Key implementation aspects include: using MATLAB's image processing toolbox functions like adaptthresh() for local threshold calculation, implementing region-based thresholding through sliding window techniques, and handling edge cases with padding methods. The algorithm typically involves calculating local statistics (mean or median) within neighborhoods and applying thresholding based on these local characteristics rather than a global value.
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