DIP (Digital image processing) is the use of computer algorithms to create, process, communicate and display digital images. As MATLAB is a high-performance language for technical computing with powerful commands and syntax, it is widely used for the DIP. The main purpose of Digital Image processing(DIP) is that the result is more fit than the initial image for a particular use.
Digital image processing methods provide a number of choices for improving the visual quality of images (e.g. image enhancement, images segmentation, images registration). Suitable selection of such methods is considerably controlled by the imaging modality, job at hand and viewing conditions.
Digital image processing algorithms can be used to:
Transform signals from an image sensor into digital images
Increase clarity, and eliminate noise and other artifacts
Obtain the size, scale, or number of objects in a picture
Prepare images for display or printing
Compress images for transfer across a network
By the end of the course, you will be able to
Perform Digital Image Processing using MATLAB
Learn M Function programming
Perform Intensity Transformations
Spatial Filtering
Frequency domain processing
Image Restoration and Reconstruction and Geometric transformations
Color image processing
Wavelets
Morphological image processing
Image segmentation
DIP using MATLAB Certification is included in the course which will be the proof of the new skills you own.
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