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sanjay-kv
Is there an existing issue for this?
Feature Description
This program is for image segmentation using thresholding techniques. It includes two types of thresholding methods: basic global thresholding and Otsu's thresholding. Here’s a breakdown of each section:
Basic Global Thresholding:
The function basic_global_thresholding calculates a global threshold by iteratively finding the mean of foreground and background pixel values. It stops when the difference between the current mean and the previous mean falls below a specified threshold (delthreshold). Otsu's Thresholding:
The otsu_thresholding function implements Otsu's method, which calculates a threshold that minimizes the intra-class variance (variance within foreground and background regions). This threshold is more effective for bimodal images (images with a clear foreground and background).
Use Case
Image Segmentation:
The function segmented_image applies the calculated threshold (either global or Otsu's) to segment the image into binary values (0 and 1), creating a clear distinction between foreground and background regions. Visualization:
The program reads a grayscale image, displays the original image, calculates the optimal threshold using Otsu’s method, segments the image based on this threshold, and then displays the segmented (thresholded) image.
Benefits
@sanjay-kv Sir please assign me this. I want to add this under Open CV project.
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Priority
High
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