Page 76 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

UNIT I FUNDAMENTALS OF IMAGE PROCESSING 9
Image Analysis and Computer Vision- Overview. Image acquisition system- Film and digital
camera. Imaging systems: Image formation and sensing, Image representation, Characteristics of
grey-level digital images: Discrete sampling model, Quantization, Relationship between the pixels,
Colour fundamentals and models.

UNIT II IMAGE PREPROCESSING AND IMAGE TRANSFORMS 10
Basic gray level transformation- Log transformation, Power - law transformation, Piece wise linear
transformation. Histogram processing.
Image Transforms- DFT – DCT– Walsh - Hadamard – Haar – Slant – KL –and their properties.

UNIT III IMAGE ENHANCEMENT 8
Spatial Domain: 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, Homomorphic Filtering.

UNIT IV IMAGE SEGMENTATION AND RESTORATION 9
Segmentation: Detection of discontinuities–Edge linking and boundary detection – Region based
segmentation- Morphological processing - erosion and dilation.
Image Restoration-Noise models– Restoration in the presence of Noise – spatial filtering, Periodic
noise reduction by frequency domain filtering, Estimation of degradation function, Inverse filter-
Weiner filtering.

UNIT V IMAGE COMPRESSION, IMAGE REPRESENTATION AND DESCRIPTION 9
Image compression: Introduction- Image compression models, Lossless and lossy compression
methods, Image compression standards. Boundary representation – Chain Code – Polygonal
approximation, signature, boundary segments – Boundary description – Shape number – Fourier
descriptor, moments- Regional Descriptors –Topological feature, Texture - Patterns and pattern
classes - Recognition based on matching

TOTAL: 45 PERIODS
OUTCOMES:
On completion of the course students will be able to
• Demonstrate the concepts of Image formation, acquisition systems and color
representations
• Develop algorithms to pre-process the images.
• Apply image enhancement techniques in spatial and frequency domain.
• Perform segment and restore the images by applying suitable method
• Represent the images by different descriptors for feature selection and recognition.

TEXT BOOKS:
1. SE Umbaugh, “Digital Image Processing and Analysis: Human and Computer Vision
Application with CVIP tools”, 2nd Edition, CRC Press, 2011
2. Rafael C Gonzalez, Richard E Woods, “Digital Image Processing”, 3rd edition, Pearson
Education India, ISBN-10: 9332570329

REFERENCES:
1. N.Efford, “Digital Image Processing”, Addison Wesley 2000, ISBN 0-201-59623-7
2. M Sonka, V Hlavac and R Boyle, “Image Processing, Analysis and Machine Vision”, PWS
1999, ISBN 0-534-95393-X
3. W K Pratt, “Digital Image Processing”, John Wiley and Sons, 1991,
4. Anil Jain K. “Fundamentals of Digital Image Processing”, PHI Learning Pvt. Ltd., 2011.

Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 76