JNTUH B.Tech 4th Year 1 sem Computer Science and Engineering R13 (4-1) Image Processing and Pattern Recognition (Elective – I) R13 syllabus.

JNTUH B.Tech 4th year (4-1) Image Processing and Pattern Recognition gives you detail information of Image Processing and Pattern Recognition (Elective – I) R13 syllabus It will be help full to understand you complete curriculum of the year.

Objectives

• Adequate background knowledge about image processing and pattern recognition
• Practical knowledge and skills about image processing and pattern recognition tools
• Necessary knowledge to design and implement a prototype of an image processing and pattern recognition application.

UNIT-I

Fundamental steps of image processing, components of an image processing system. The image model and image acquisition, sampling and quantization, relationship between pixels, distance functions, scanner. Statistical and spatial operations, Intensity functions transformations, histogram processing, smoothing & sharpening – spatial filters Frequency domain filters, homomorphism filtering, image filtering & restoration. Inverse and wiener filtering. FIR wiener filter. Filtering using image transforms, smoothing splines and interpolation.

UNIT—II

Morphological and other area operations, basic morphological operations, opening and dosing operations, dilation erosion, Hit or Miss transform, morphological algorithms, extension to grey scale images. Segmentation and Edge detection region operations, basic edge detection, second order detection, crack edge detection, gradient operators, compass and Laplace operators, edge inking and boundary detection, thresholding, region based segmentation, segmentation by morphological watersheds.

UNIT-III

Image compression: Types and requirements, statistical compression, spatial compression, contour coding, quantizing compression, image data compression-predictive technique, pixel coding, transfer coding theory, lossy and lossless predictive type coding, Digital Image Water marking.

Download iStudy Android App for complete JNTUH syllabus, results, timetables and all other updates. There are no ads and no pdfs and will make your life way easier.

TEXT BOOKS

• Digital Image Processing Third edition. Pearson Education. Rafael C. Gonzalez, Richard E. Woods.
• Pattern recognition Principles: Jufus T. Tou, and Rafel C. Gonzalez, Addislon-Wesfy Publishing Company.
• Digital Image Processing. M.Anji Reddy. Y.Hari Shankar, BS Publications.

REFERENCE BOOKS

• image Processing. Analysis and Machine Vision, Second Edition, Milan Sonka. Vaciav Hlavac and Roger Boie. Thomson learning
• Digital Image Processing – William k. Prati -John Wiley edition.
• Fundementais of digital image processing – by A.K. Jam, PHI.
• Pattern classification. Richard Duda. Hart and David strok John Wiley publishers.
• DigItal Image Processing, S.Jayaraman.S. Esakkirajan, T.Veerakumar. TMH.
• Pattern Recognition. R.Shinghal. Oxford University Press.

Outcomes

• Ability to apply computer algorithms to practical problems.
• Ability to image segmentation. reconstruction and restoration.
• Ability to perform the classification of patterns.

For more information about all JNTU updates please stay connected to us on FB and don’t hesitate to ask any questions in the comment.