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Lectures
Lecture: Introduction
Lecture: Image Formation
Lecture: Pixel Operations and Linear Filters
Lecture: Fourier Transform and FFT (1D)
Lecture: Mathematical Morphology
Lecture: Fourier Transform and Filtering (2D)
Lecture: Matching
Lecture: Edge Detection
Lecture: Segmentation
Lecture: Binary Image Analysis
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Sage Notebooks
Here is an alphabetical list of all the Sage notebooks that we will be using in the course. (Look under individual lectures to see these organized by topic.)
improc - 1D Aliasing and Anti-Aliasing (Sage)
improc - 2D Filtering with the FFT (Sage)
improc - 2D Fourier Transform (Sage)
improc - 2D Wavelet Compression (Sage)
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improc - Basic Spectral Analysis (Sage)
improc - Binary Boundary Tracing (Sage)
improc - Binary Images and Morphology (Sage)
improc - Binary Object Measurements (Sage)
improc - Boundaries as Complex Numbers (Sage)
improc - Character Rescaling for OCR (Sage)
improc - Color Segmentation (Sage)
improc - Continuous Convolution (Sage)
improc - Convolution as Matrix Multiplication (Sage)
improc - DCT coding (Sage)
improc - Discrete Cosine Transform (Sage)
improc - Distance Transform (Sage)
improc - Edge Detection (Sage)
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improc - Edge-Based Segmentation (Sage)
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improc - Euclidean Distance Transform (Sage)
improc - Fast Fourier Transform (Sage)
improc - Fourier Transform (Sage)
improc - Hough Transform (Sage)
improc - Image Thresholding (Sage)
improc - Matching (Sage)
improc - Morphological Denoising (Sage)
improc - Path Finding (Sage)
improc - RANSAC (Sage)
improc - RAST (Sage)
improc - Reading NetPBM Files (Sage)
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improc - Region Growing Segmentation (Sage)
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improc - Short Time Fourier Transform (Sage)
improc - Template Matching (Sage)
improc - Text Line Segmentation (Sage)
improc - Thinning (Sage)
improc - Watershed Segmentation (Sage)
improc - YCbCr space and color channel subsampling (Sage)
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improc - YUV Color Channel Smoothing (Sage)
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improc - k-means color segmentation (Sage)
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test -- Sage
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