Image Processing with Matlab(R)

 

 

 

 

 

IMAGE Processing with Matlab (R) 

This course deals with using MATLAB® Image Processing toolbox for image processing, analysis, visualization, and algorithm development. The training covers various topics such as importing and exporting images, pre- and post-processing of images, analysis and visualization of images, and spatial transformations and image registration.

COURSE CONTENT :
Introduction	A quick overview of MATLAB(R) computing environment Overview of MATLAB(R) Image Processing toolbox Course content and material discussion
Acquiring and handling images in MATLAB(R)	Connecting the hardware Retrieving hardware information Acquiring and viewing the image data Image file I/O Exploring image types (RGB, binary, intensity, and indexed images) Image type conversions The concept of color space and image color space conversions Finding pixel value information Computing mean and standard deviation of images Measuring properties of image regions
Image enhancement techniques	Adjusting image intensity Image histogram operations: adjustment, equalization,and stretching Multidimensional arrays Image arithmetic operations Cropping and resizing images Image alignment correction: rotating images
Image filtering	Neighborhood and block processing of images Distinct block operations Sliding neighborhood operations Performing image convolution and correlation Averaging filters Region of interest processing Introduction to spatial and frequency domain filtering
Image restoration techniques	Reducing noise from images De-blurring images Correcting background illumination
Edge detection related operations	Edges in an image Detecting edges with various methods: Sobel, Prewitt, Roberts, Laplacian of Gaussian, zero cross and Canny. Computing edge directive histogram
Image morphological operations	Bridging unconnected pixels, cleaning, closing, and opening Dilation and erosion Identifying and labeling connected components
Image transforms	Forward and inverse Discrete cosine transform Forward and inverse Fast Fourier transform Forward and inverse Radon transform Applying wavelet transform to images

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