23 lines
1.4 KiB
Markdown
23 lines
1.4 KiB
Markdown
# Skills & Algorithmic Capability
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## Module 1: Intensity Transformations
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- **Negative Transform:** Implementing $s = L - 1 - r$ [3].
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- **Gamma Correction:** Implementing $s = c \cdot r^\gamma$ for monitor correction or detail expansion [4, 14].
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- **Piecewise-Linear:** Contrast stretching and bit-plane slicing to isolate image details [15, 16].
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## Module 2: Histogram Processing
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- **Global Equalization:** Spreading intensity distributions using Cumulative Distribution Functions (CDF) [5, 17].
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- **Local Enhancement:** Computing histograms over sliding $n \times n$ neighborhoods to reveal obscured small-area details [6, 18].
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## Module 3: Spatial Filtering
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- **Smoothing (Low-pass):** Box filters, weighted averages, and **Median Filters** for Salt-and-Pepper noise reduction [7, 9, 10, 19].
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- **Sharpening (High-pass):**
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- **Laplacian:** Using second-order derivatives to highlight fine detail [14, 20, 21].
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- **High-boost Filtering:** Combining original images with unsharp masks using an amplification factor $A$ [13, 20].
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- **Gradient Operators:** Implementing **Sobel** and **Roberts** masks for edge detection [22-24].
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## Module 4: Full-Stack Integration
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- **Backend:** Building REST APIs with Django/OpenCV.
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- **Frontend:** Creating interactive UI with React, Tailwind CSS, and synchronized zoom viewports.
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- **Task Management:** Offloading heavy $35 \times 35$ mask operations to Celery workers [9].
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