ImageStylo Documentation
KMeans Clustering Implementation
Technical breakdown of the colour quantization engine. Includes the NumPy reshaping logic and OpenCV parameter optimization for real-time processing.
Read Docs →Mean Shift Segmentation Logic
Deep dive into non-parametric clustering. Explains how the Pyramid Mean Shift algorithm optimizes processing time for high-resolution images compared to standard implementations.
Read Docs →Canny Edge Detection Logic
Technical overview of gradient-based feature extraction. Explains the multi-stage Canny process including Non-Maximum Suppression and Hysteresis Thresholding.
Read Docs →Difference of Gaussians (DoG)
Mathematical explanation of the band-pass filter used for blob detection. Details how subtracting two Gaussian kernels mimics the human visual system.
Read Docs →Median Filtering & Denoising
Explanation of Non-Linear filtering techniques. Why sorting pixel values works better than averaging when dealing with "Salt-and-Pepper" image noise.
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