Course in Image processing with MATLAB
Course
In Bangalore
Description
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Type
Course
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Location
Bangalore
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Duration
2 Days
Facilities
Location
Start date
Start date
Reviews
Course programme
This teaching is all regarding the ways MATLAB Image Process tool-box can be utilized for image process, analyzing, visualization, plus algorithm expansion. The teaching takes into consideration different contents like import plus export images, pre plus post processing of images, analyzing plus visualization of images, plus spatial transformation plus image-registration.
Day-1
Preface
• A rapid general idea of MATLAB calculating environment
• General idea of MATLAB Image Process tool-box
• Course contents plus material discussions
Acquire plus handle image in MATLAB
• Connect to the hardware
• Retrieving hardware awareness
• Acquiring plus view the images data
• Image file I / O
• Explore image kinds
• RGB, binary, intensity, plus indexed image
• Image kind conversion
• The conception of color space plus image color space conversion
• Find pixel-value awareness
• Computing means plus normal deviation of images
• Measure properties of image county
Image augmentation methods
• Adjusting image intensity
• Image histogram operations: adjustment, equalization, plus stretching
• multidimensional arrays
• Image arithmetic operations
• Cropping plus resizing images
• Image alignment correction: rotating images
Image filtering
• Neighborhood plus block processing of images
• Distinct block operations
• Sliding neighborhood-operations
• Performing image convolution plus correlation
• Averaging filters
• Region of interest processing
• Introduction to spatial plus frequency domain filtering
Day-2
Image restoration ways
• Reducing noise from images
• Deblurring images
• Correcting background illumination
Edge detecting connected operation
• Edges in an image
• Detecting edges with various processes: Sobel-Prewitt-Roberts-Laplacian of Gaussian, zero cross plus Canny.
• Computing edge directive histogram
Image morphological operations
• Bridging not connected pixels, cleaning, closing, plus opening
• Dilation plus erosion
• Identifying plus labeling linked components
Image-transforms
• Forward plus opposite Discrete cosine transform
• Forward plus opposite Fast-Fourier transforms
• Forward plus opposite Radon transforms
• Applying wavelet change to image
Course in Image processing with MATLAB