What are the Techniques to Improve Thresholding Accuracy?
To address the challenges, several advanced techniques can be employed:
Adaptive Thresholding: This method adjusts the threshold value dynamically based on local image characteristics, improving accuracy. Multilevel Thresholding: Instead of a single threshold, multiple thresholds are used to segment the image into different regions, enhancing the detection of complex tissues. Machine Learning:Machine learning algorithms can be trained to identify optimal thresholds based on large datasets, reducing subjectivity and improving consistency. Image Preprocessing: Techniques like noise reduction, contrast enhancement, and normalization can help in achieving better thresholding results.
