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Lecture 3 - Image Filtering

UCF CRCV 798 1 year ago
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Topics covered in this video Image Histogram Histogram Example Digitization Gray Scale Digital Image RGB Channels Sampling Quantization Resolution Gray Scale Image Image as Function Extracting Useful Information from Images • Histogram • Edges • Smoothing/Removing Noise • Convolution/Correlation • Image Derivatives/Gradient • Filtering (linear) Intensity profiles for selected rows (two) in an image Image Noise Gaussian Noise Salt and Pepper Noise Image Filtering Correlation (Linear Relationship) Convolution Gaussian Filtering Practice with Kernels Sobel Filtering Median FIlter Image Derivatives Discrete Derivative/ Finite Difference Example: FInite Difference Derivative in 2-D Derivative of Images

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