KaaShiv's Training Program will provide you with in-depth knowledge in Image Processing
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Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Image Acquisition | - | |||
Applications of Digital Image Processing | - | |||
Image Enhancement in the Spatial Domain | - | |||
Point Operations | - | |||
Histogram Processing | - | |||
Thresholding IP | - | |||
Neighborhood Operations | - | |||
MATLAB Introduction | - | |||
MATLAB Environment Setup | - | |||
MATLAB Basic Syntax | - | |||
MATLAB Variables | - | |||
MATLAB Commands | - | |||
MATLAB M-Files | - | |||
MATLAB Data Types | - | |||
MATLAB Operators | - | |||
MATLAB Decision Making | - | |||
Digital Image Representation | - | |||
Image Types | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Fourier Analysis | - | |||
The 1-D Discrete Fourier Transform | - | |||
The 2-D Discrete Fourier Transform | - | |||
DFT Representation of Images | - | |||
Computation of the 2-D DFT | - | |||
Properties of the 2-D DFT | - | |||
The 1-D Fourier Transform | - | |||
The 2-D Fourier Transform | - | |||
MATLAB Loop Types | - | |||
MATLAB Vectors | - | |||
MATLAB Matrix | - | |||
MATLAB Arrays | - | |||
Histogram Processing and Function Plotting | - | |||
Intensity Transformation Functions | - | |||
MATLAB Strings | - | |||
MATLAB Numbers | - | |||
MATLAB Colon Notation | - | |||
Spatial Filtering | - | |||
Image Enhancement in the Frequency Domain | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
1-D Linear Convolution Using the DFT | - | |||
2-D Linear Convolution Using the DFT | - | |||
Lowpass Filtering | - | |||
The Laplacian Filter | - | |||
Frequency-Domain Filters | - | |||
Homomorphic Filtering | - | |||
MATLAB Functions | - | |||
MATLAB Data Import | - | |||
MATLAB Data Output | - | |||
MATLAB Plotting | - | |||
MATLAB Graphics | - | |||
MATLAB Algebra | - | |||
Image Processing Toolbox Standard Spatial Filters | - | |||
Using Fuzzy Techniques for Intensity Transformations and Spatial Filtering | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Image Restoration | - | |||
The Image Restoration Process | - | |||
Inverse Filtering | - | |||
Wiener Filter | - | |||
The 2-D Wiener Filter | - | |||
Image Degradation Model | - | |||
Characterization of the Noise and Its Reduction | - | |||
Filtering in the Frequency Domain | - | |||
Obtaining Frequency Domain Filters from Spatial Filter | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Geometric Transformations and Image Registration | - | |||
Interpolation ip | - | |||
Correlation ip | - | |||
Affine Transform | - | |||
Image Registration | - | |||
Image Reconstruction from Projection | - | |||
The Normal Form of a Line | - | |||
The Radon Transform | - | |||
Hough Transform | - | |||
MATLAB Calculus | - | |||
MATLAB Differential | - | |||
MATLAB Integration | - | |||
MATLAB Polynomials | - | |||
MATLAB Transforms | - | |||
MATLAB GNU Octave | - | |||
MATLAB Simulink | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Morphological Image Processing | - | |||
Binary Morphological Operations | - | |||
Binary Morphological Algorithms | - | |||
Grayscale Morphology | - | |||
Edge Detection | - | |||
Edge Detection Matlab | - | |||
Canny Edge Detection Algorithm | - | |||
Laplacian of Gaussian | - | |||
Segmentation ip | - | |||
Edge-Based Segmentation | - | |||
Threshold-Based Segmentation | - | |||
Region-Based Segmentation | - | |||
Watershed Algorithm | - | |||
Object Description | - | |||
Boundary Descriptors | - | |||
Regional Descriptors | - | |||
Principal Component Analysis | - | |||
Matlab User Classes | - | |||
MatLab Timer Object | - | |||
MatLab Timer Object Properties | - | |||
MatLab M-File Functions | - | |||
MatLab Debugging | - | |||
MatLab Audio and Video Files | - | |||
MatLab Path | - | |||
Object Classification | - | |||
Zookeeper ZNodes | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
MatLab Memory Usage | - | |||
MatLab Resolving Out of Memory Errors | - | |||
The k-Nearest Neighbors Classifier | - | |||
The Minimum -Distance-to- Mean Classifier | - | |||
Decision- Theoretic Methods | - | |||
Decision Tree Classification | - | |||
Bayesian Classification | - | |||
k-Means Clustering matlab | - | |||
Image Compression | - | |||
Lossless Compression | - | |||
Transform- Domain Compression | - | |||
Image Compression with Biorthogonal Filters | - | |||
Color Models | - | |||
Pseudocoloring ip | - | |||
Color Image Processing matlab | - |
Image processing internship
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We have a lifetime 24x7 online support team to resolve all your technical queries, through a ticket based tracking system.
Successfully complete your final course project and Kaashiv will certify you as a Image Processing Expert.
We have a community forum for all our learners that further facilitates learning through peer interaction and knowledge