Course in Image processing with MATLAB

itie Knowledge Solutions
In Bangalore

Price on request
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Important information

Typology Course
Location Bangalore
Duration 2 Days
  • Course
  • Bangalore
  • Duration:
    2 Days


Where and when

Starts Location
On request
#280, 59th Cross, 17th C Main, 3rd Y Block, Rajajinagar, Bangalore, 560010, Karnataka, India
See map
Starts On request
#280, 59th Cross, 17th C Main, 3rd Y Block, Rajajinagar, Bangalore, 560010, Karnataka, India
See map

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.



• 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


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


• Forward plus opposite Discrete cosine transform
• Forward plus opposite Fast-Fourier transforms
• Forward plus opposite Radon transforms
• Applying wavelet change to image

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