created CST 304 & added syllabus

src/WikiSyllabus/KTU/2019_Scheme/S6/CSE/CST304/SUMMARY.md

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+# CST 304 - CGAIP
+
+#### INDEX
+
+- [Syllabus](./Syllabus.md)

src/WikiSyllabus/KTU/2019_Scheme/S6/CSE/CST304/Syllabus.md

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+# CST 304 - COMPUTER GRAPHICS AND IMAGE PROCESSING
+
+**Category:** PCC  
+**Lecture:** 3 | **Tutorial:** 1 | **Practical:** 0 | **Credit:** 4  
+**Year of Introduction:** 2019
+
+## Syllabus
+
+### Module 1 - Basics of Computer graphics and Algorithms
+- Basics of Computer Graphics and its applications. 
+- Video Display devices
+  - Refresh Cathode Ray Tubes
+  - Random Scan Displays and systems
+  - Raster scan displays and systems 
+- Line drawing algorithms
+  - DDA
+  - Bresenham’s algorithm
+- Circle drawing algorithms
+  - Midpoint Circle generation algorithm
+  - Bresenham’s algorithm
+
+### Module 2 - Filled Area Primitives and transformations
+- Filled Area Primitives
+  - Scan line polygon filling
+  - Boundary filling
+  - flood filling
+- Two dimensional transformations
+  - Translation
+  - Rotation
+  - Scaling
+  - Reflection
+  - Shearing
+  - Composite transformations
+  - Matrix representations
+  - homogeneous coordinates  
+- Basic 3D transformations  
+
+### Module 3 - Clipping and Projections
+- Window to viewport transformation
+- Cohen Sutherland Line clipping algorithm
+- Sutherland Hodgeman Polygon clipping algorithm
+- Three dimensional viewing pipeline. 
+- Projections
+  - Parallel
+  - Perspective projections
+- Visible surface detection algorithms
+  - Depth buffer algorithm
+  - Scan line algorithm.
+
+### Module 4 - Fundamentals of Digital Image Processing
+- Introduction to Image processing and applications. 
+- Image as 2D data
+- Image representation in Gray scale, Binary and Colour images. 
+- Fundamental steps in image processing. 
+- Components of image processing system. 
+- Coordinate conventions. 
+- Sampling and quantization. 
+- Spatial and Gray Level Resolution. 
+- Basic relationship between pixels
+  - neighbourhood
+  - adjacency
+  - connectivity
+- Fundamentals of spatial domain-convolution operation.
+
+### Module 5 - Image Enhancement in Spatial Domain and Image Segmentation
+- Basic gray level transformation functions 
+  - Log transformations
+  - Power-Law transformations
+  - Contrast stretching
+- Histogram equalization. 
+- Basics of spatial filtering 
+  - Smoothing spatial filter
+  - Linear and nonlinear filters
+  - Sharpening spatial filters
+    - Gradient
+    - Laplacian
+- Fundamentals of Image Segmentation. 
+- Thresholding
+  - Basics of Intensity thresholding
+  - Global Thresholding. 
+- Region based Approach
+  - Region Growing
+  - Region Splitting
+  - Merging
+- Edge Detection 
+  - Edge Operators
+    - Sobel 
+    - Prewitt
+
+## Textbooks
+1. Donald Hearn and M. Pauline Baker, Computer Graphics, PHI, 2e, 1996
+2. Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing. Pearson, 4e, 2017
+
+## Reference Books
+1. William M. Newman and Robert F. Sproull, Principles of Interactive Computer Graphics.
+McGraw Hill, 2001
+2. Zhigang Xiang and Roy Plastock, Computer Graphics (Schaum’s outline Series), McGraw
+Hill, 2019.
+3. David F. Rogers , Procedural Elements for Computer Graphics, Tata McGraw Hill,2001.
+4. M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision,
+Thomson India Edition, 4e, 2017.

src/WikiSyllabus/KTU/2019_Scheme/S6/CSE/SUMMARY.md

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 #### INDEX
 
 -  [CST 306 - AAD](./CST306/SUMMARY.md)
+-  [CST 304 - CGAIP](./CST304/SUMMARY.md)