JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

UNIT - I

Fundamentals of Digital Image Processing: Elements of visual perception, brightness, contrast, hue, saturation, mach band effect, 2D image transforms-DFT, DCT, KLT, and SVD. Image enhancement in spatial and frequency domain, review of morphological image processing

UNIT - II

Segmentation: Edge detection, Thresholding, Region growing, Fuzzy clustering, Watershed algorithm, Active contour methods, and Texture feature based segmentation, Model based segmentation, Atlas based segmentation, Wavelet based segmentation methods

UNIT - III

Feature Extraction: First and second order edge detection operators, Phase congruency, Localized feature extraction- detecting image curvature, shape features Hough transform, shape skeletonization, Boundary descriptors, Moments, Texture descriptors- Autocorrelation, Co-occurence features, Run length features, Fractal model based features, Gabor filter, Wavelet features.

UNIT - IV

Registration And Image Fusion: Registration- Pre-processing, Feature selection-points, lines, regions and templates Feature correspondence-point pattern matching, Line matching, region matching Template matching. Transformation functions-similarity transformation and Affine Transformation. Resampling- Nearest Neighbor and Cubic Splines Image Fusion-Overview of image fusion, pixel fusion, Multi resolution based fusion discrete wavelet transform, Curvelet transform, Region based fusion.

UNIT - V

3D Image Visualization: Sources of 3D Data sets, Slicing the Data set, Arbitary section planes, The use of color, Volumetric display , Stereo Viewing, Ray tracing, Reflection, Surfaces, Multiply connected surfaces, Image processing in 3D, Measurement on 3D images.

TEXT BOOKS:

• 1. John C. Russ,”The Image Processing Handbook”, CRC Press, 2007.
• 2. Mark Nixon, Alberto Aguado,”Feature Extraction and Image Processing”, Academic Press, 2008.
• 3. Ardeshir Goshtaby, “2D and 3D Image registration for Medical, Remote Sensing and Industrial Applications”, John Wiley and Sons, 2005.

REFERENCE BOOKS:

• 1. Rafael C. Gonzalez, Richard E. Woods,”Digital Image Processing”, Pearson Education, Inc., Second Edition, 2004.
• 2. Anil K. Jain, “Fundamentals of Digital Image Processing”, Pearson Education, Inc., 2002.
• 3. Rick S. Blum, Zheng Liu, “Multi sensor Image Fusion and its Applications”, Taylor & Francis, 2006. M. TECH. I YEAR II SEMESTER ELECTRONICS & INSTRUMENTATION ADVANCED INSTRUMENTATION LABORATORY- II

Note

Total 15 Experiments have to be completed at least 3 from each category using Virtual

Instruments.

A. Motion Control and Gear using Virtual Instruments

• 1. High speed motion control (on-off, PWM)
• 2. Measurement and processing of sensory data(revolution counter, accelerometer)
• 3. Automatic control and regulation of rotary speed (PID control)
• 4. Vibration analysis and diagnostics of gear box B. Take-off and Landing using Virtual Instruments
• 1. System modeling and simulation
• 2. System identification
• 3. Tracking control and regulation
• 4. Root locus design
• 5. Frequency analysis C. Inverted Pendulum using Virtual Instruments
• 1. System modeling
• 2. Parameter estimation
• 3. Friction compensation
• 4. Hybrid control /swing up control
• 5. Non-linear swing up control D. Robotics using Virtual Instruments
• 1. Controlling of robot
• 2. Joint space programming
• 3. Coordinate space programming
• 4. Simulation of robot using image processing software
• 5. Robot programming using vision system E. HVAC using Virtual Instruments
• 1. System modeling
• 2. Relay control design
• 3. Temperature control
• 4. PI control design
• 5. Model Validation