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.

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


Highslide for Wordpress Plugin
Contact us

Welcome to ITIE! Are you looking for our Product Demo? Write to us, we will get back to you ASAP.

Questions, issues or concerns? I'd love to help you!

Click ENTER to chat