Bio-Medical Image processing with MATLAB(R) (25 hours + 15 hours)

This training is all about how MATLAB(R) Image Processing toolbox can be used for Bio-Medical 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(1 hour)
  • 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)(6 hours)
  • 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 (4 hours)
  • 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 (5 hours)
  • 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 (2 hours)
  • Reducing noise from images
  • De-blurring images
  • Correcting background illumination
Edge detection related operations (2 hours)
  • 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 (2 hour)
  • Bridging unconnected pixels, cleaning, closing, and opening
  • Dilation and erosion
  • Identifying and labeling connected components
Image transforms (3 hours)
  •  Forward and inverse Discrete cosine transform
  • Forward and inverse Fast Fourier transform
  • Forward and inverse Radon transform
  • Applying wavelet transform to images
Bio-Medical Image Processing(15 hours)
  • Introduction to Bio-Medical Image Processing
  • Overview of different imaging modalities
  • Medical Image Enhancement
  • Medical Image filtering
  • Medical Image segmentation

 

 
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