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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