Subject Details
Dept     : BIO
Sem      : 6
Regul    : 23
Faculty : R.Jeevitha
phone  : 6369593604
E-mail  : jeevitha.r.bme@snsct.org
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Syllabus

UNIT
1
DIGITAL IMAGE FUNDAMENTALS

Introduction - Origin - Steps in Digital Image Processing - Components - Elements of Visual Perception - Image Sensing and Acquisition - Image Sampling and Quantization - Relationships between pixels - color models. MATLAB: Image sampling and quantization

UNIT
2
IMAGE ENHANCEMENT

Spatial Domain: Gray level transformations - Histogram processing - Basics of Spatial Filtering-Smoothing and Sharpening Spatial Filtering - Frequency Domain: Introduction to Fourier Transform - Smoothing and Sharpening frequency domain filters - Ideal, Butterworth and Gaussian filters. MATLAB: Analysis of spatial and intensity resolution of images.

UNIT
3
IMAGE RESTORATION AND SEGMENTATION

Noise models: Mean Filters - Adaptive filters - Band reject Filters - Band pass Filters - Notch Filters - Inverse Filtering - Wiener filtering Segmentation: Detection of Discontinuities-Edge Linking and Boundary detection - Region based segmentation- Morphological processing. MATLAB: Edge detection, line detection and point detection.

UNIT
4
BIOMEDICAL IMAGES

Medical imaging modalities - Medical images obtained with ionizing radiation-Images from x-rays-Images from Gamma-rays-Medical images obtained with non-ionizing radiation- Ultrasound imaging- Magnetic resonance imaging- Hybrid and advanced modalities - Picture archiving and communication systems (PACS). MATLAB: Medical Image Enhancement

UNIT
5
BIOMEDICAL APPLICATIONS

Computer-aided diagnosis in mammography - Tumor imaging and treatment - Angiography - Bone strength and osteoporosis - Tortuosity- Frontiers of image processing in medicine- Trends - Functional magnetic resonance imaging - Molecular imaging. MATLAB: Medical Image filtering

Reference Book:

R1 Anil K. Jain, Fundamentals of Digital Image Processing, Pearson Education, 2019. R2 Paul Suetens, Fundamentals of Medical Imaging, Third Edition, Cambridge University Press, 2017. R3 Paolo Zaffino & Maria Francesca Spadea , Artificial Intelligence in Medical Image Processing and Segmentation, MDPI Books, August 2023. R4 Walid A. Zgallai and Dilber Uzun Ozsahin , Artificial Intelligence and Image Processing in Medical Imaging, Elsevier, 2024 R5 Ben Othman Soufiene and Chinmay Chakraborty , Machine Learning and Deep Learning Techniques for Medical Image Recognition, CRC Press, 2025.

Text Book:

Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Digital Image Processing Using MATLAB, Third Edition (Revised), Gatesmark Publishing, 2020. Geoff Dougherty, Digital Image Processing for Medical Applications, Cambridge University Press, New York, 2009.