Update ndwi_labels.py , add comments and blurring function(Optional) - #26
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Enhance the code. Write Comments. Apply Gaussian filtering if we want.
# Apply majority number of Windows:
**Buffer Matrix :**
- Same shape as original image.
- The buffer matrix is a matrix where each element represents the number of times a sliding window moves over a specific pixel.
* For example:
- When a sliding window covers a particular region of the matrix, all pixels within this region are incremented by 1.
- As the sliding window moves, the common pixels between the current and previous sliding windows are incremented by 1, reflecting the overlap.
---
**Water count matrix :**
- Same shape as original image.
- A matrix where each pixel value represents the number of times pixels labelled as water.
* For example:
1. For each sliding window ⇒ It is segmented 0 (Land) or 1 (Water).
2. We apply add operation between current segmented image and previous semented images.
3.1 If pixel semented as 1 as last loop ⇒ water count increased by 1.
3.1 If pixel semented as 0 but last loop segmented as 1 ⇒ water count still as it is.
- This happen because each point may have more than one buffering window that passes through it.
- **Before :** If at least one sliding window labels the pixel as water => It will be water.
- **After :** If more than half of sliding winodws labels the pixel as water then water, else land.
# Concatenate the rest of sliding windows images (Unlabeled parts) from NDWI classifed.
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Improves documentation for get_ndwi_label function and adds majority pixel rule for labeling water pixels.
rawann31
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Ritika-K7
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Aug 23, 2025
Update ndwi_labels.py by adding majority pixel rule for labeling water pixels. Also improves documentation for get_ndwi_label function.
Ritika-K7
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to Ritika-K7/CoastlineExtraction
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Aug 23, 2025
Update ndwi_labels.py by adding majority pixel rule for labeling water pixels. Also improves documentation for get_ndwi_label function.
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This pull request is part of Google Summer of Code 2024.