Resolved Edge Case Handling and Performance Improvements in Image Processing Functions. #11597
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…nctions 1. Added missing kernel assignment in opening_filter and transform functions. 2. Corrected kernel handling in transform for dynamic padding based on kernel size. 3. Handled edge cases in normalize_array to avoid division by zero. 4. Removed unnecessary type casting to np.uint8 in get_distances to prevent clipping. 5. Improved error handling for invalid parameters["format"] values. 6. Renamed return values in binary_mask for better clarity. 7. Enhanced matrix_concurrency to ensure valid pixel ranges and normalization. 8. Optimized array operations in haralick_descriptors by applying vectorization.
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tianyizheng02
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tianyizheng02
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| """ | ||
| https://en.wikipedia.org/wiki/Image_texture | ||
| https://en.wikipedia.org/wiki/Co-occurrence_matrix#Application_to_image_analysis | ||
| """ | ||
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Why remove the references?
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Do not delete the docstrings. Not only are they the documentation for the functions in the file, but they also contain all the unit testing for the code.
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Closing tests_are_failing PRs to prepare for Hacktoberfest |
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Please Label me for HacktoberFest accepted.
Issue Description:
Several issues related to edge case handling and performance inefficiencies were resolved in the image processing functions. Below is a summary of how these problems were fixed:
Fixes
The kernel was properly initialized and assigned in both functions to ensure consistent behavior when applying filters.
Dynamic padding was added to handle kernel size variations, ensuring that transformations apply correctly without cropping or distorting the image.
Added a check to prevent division by zero during array normalization, ensuring that values are handled safely in edge scenarios.
Type casting to np.uint8 was removed to prevent clipping of values, preserving the accuracy of distance calculations.
A validation step was introduced for parameters["format"] to handle invalid inputs gracefully, preventing unexpected function failures.
Return values were renamed to improve clarity and reduce confusion in their usage, making the function more intuitive.
Checks were added to ensure pixel ranges are valid, preventing out-of-bounds errors during array manipulation.
Optimized array operations using vectorization techniques, improving performance and reducing processing time.