13MCA446 Digital Image Processing syllabus for MCA


Unit-1 Introduction 10 hours

What Is Digital Image Processing? The Origins of Digital Image Processing. Examples of Fieldsthat Use Digital Image Processing. Fundamental Steps in Digital Image Processing. Componentsof an Image Processing System. Image Sampling and Quantization. Some Basic RelationshipsBetween Pixels. Linear and Nonlinear Operations.

Unit-2 Image Enhancement in the Spatial Domain 8 hours

Some Basic Gray Level Transformations. Histogram Processing. Enhancement UsingArithmetic/Logic Operations. Basics of Spatial Filtering. Smoothing Spatial Filters. SharpeningSpatial Filters. Combining Spatial Enhancement Methods.

Unit-3 Image Enhancement in the Frequency Domain 8 hours

Introduction to the Fourier Transform and the Frequency Domain. Smoothing Frequency-Domain Filters. Sharpening Frequency Domain Filters. Homo-morphic Filtering.

Unit-4 Morphological Image Processing and Image Segmentation 10 hours

Dilation and erosion, opening and closing, Hit-or-Miss transformations, basic morphologicalalgorithms, Detection of discontinues, edge linking and boundary detection, thresh holding,region –based segmentation.

Unit-5 Representation and Descriptors 8 hours

Representation. Boundary Descriptors. Regional Descriptors. Use of Principal Components forDescription. Relational Descriptors.

Unit-6 Use of Image Processing in Pattern Recognition 8 hours

Introduction to the tools of Matlab and Open CV. Case study on Object Identification,Biometrics and Content Based Image retrieval.

Last Updated: Tuesday, January 24, 2023