NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-br:"Image processing.")'

Template matching techniques in computer vision : theory and practice theory and practice

By Brunelli, Roberto. Chichester, West Sussex, U.K. ; | Hoboken, NJ : Wiley, 2009 . 338 p : 26 cm.. 9780470517062

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On China /

By Kissinger, Henry,. New York : Penguin Press, 2011 . xviii, 586 p., [16] p. of plates : 25 cm.. 1594202710 (hardback) | 9781594202711 (hardback)

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Computer vision : algorithms and applications /

By Szeliski, Richard,. London ; | New York : Springer, 2011 9781848829343 (hbk.)

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A practitioner's guide to resampling for data analysis, data mining, and modeling /

By Good, Phillip I.. Boca Raton, FL : CRC Press, 2012 . x, 214 p. : 25 cm.. 9781439855508

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Advances in Embedded Computer Vision \

By Kisačanin, Branislav.. 9781849967761

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Swarm Stability and Optimization /

By Gazi, Veysel.. 2011 9783642180408

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Multi-sensor image fusion and its applications /

Boca Raton, FL : Taylor & Francis, 2006 . xv, 505 p. : 24 cm.. 0849334179 (alk. paper)

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Image processing for remote sensing-(E-BOOK)

Boca Raton, FL : CRC Press/Taylor & Francis Group, 2008 . 380 s. 1-4200-6664-1 | 978-1-4200-6664-7

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Biomedical Engineering (E-Book)

By Carlos Alexandre Barros de Mello. India In-Teh 2009 . x,658 P;

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Advanced image processing in magnetic resonance imaging(E-BOOK)

Boca Raton, FL : CRC/Taylor & Francis, 2005 . 611 p., [4] p. of plates : 24 cm.. 0-8247-2542-5 | 978-0-8247-2542-6

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Automatic Autocorrelation and Spectral Analysis (E-BOOK)

By Broersen, Piet M. T.. London : Springer-Verlag London Limited, 2006 9781846283291

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On China /

By Kissinger, Henry,. New York : Penguin Press, 2011 . xviii, 604 p. 25 cm.. 9780141049427

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Sketchup 7.1 for architectural visualization : beginner's guide /

By Jongh, Robin de.. Birmingham : Packt Publishing, 2010 . 408 p. ; 24 cm.. 1847199461 (paperback) | 9781847199461 (paperback)

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Energy materials /

Chichester, West Sussex, U.K. : Wiley, 2011 . viii, 291 p. : 24 cm.. 9780470997529 | 0470997524

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Fundamentals of materials for energy and environmental sustainability /

Cambridge ; | New York : Cambridge University Press, 2012 . xvi, 753 p. : , Includes index. 29 cm.. 9781107000230 | 1107000238

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Computational fluid dynamics /

By Chung, T. J.,. Cambridge ; | New York : Cambridge University Press, 2010 . 1034 p. : 26 cm.. 9780521769693

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Mathematical Models in Biology an introduction

UK Cambridge University press 2004 . 370 p. 0-521-61555-0

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Fundamentals of Materials Science and Engineering \ an integrated approach /

By Callister, William D.,. Hoboken, N.J. : Wiley, 2013 . xxv, 910 p. : , Includes index. 27 cm.. 9781118322697

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Robotics, Vision and Control : Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition /

By Corke, Peter.. . 1 online resource (XXIX, 693 pages 402 illustrations, 335 illustrations in color.) 9783319544137

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PR-SOF-1098-BRAIN TUMOR DETECTION USING DIGITAL IMAGE PROCESSING TECHNIQUES

By AFTAB,HUSSAM,OWAIS KHANZADA,. ISLAMABAD NUST COLLEGE OF EME 2011

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Fundamentals of digital image processing : a practical approach with examples in Matlab /

By Solomon, Chris.. Chichester, West Sussex ; | Hoboken, NJ : Wiley-Blackwell, 2011 . xiv, 328 p. : 25 cm.. 9780470844724 (hardback) | 9780470844731 (hbk.)

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Brain Tumor Detection and Localization using MRI Images /

By Asadullah, Muhammad . . 75 p

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Enhancing Tumor Segmentation in 3D MRI Scans with YOLOv8 And Volumetric segmentation: A Computational Efficient Approach /

By Abdullah. . 71p. ; 30cm..

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Perception of Emotion in Human-Robot Interaction /

By Zia, Muhammad Faisal. . 59p. , Perception of emotion is an intuitive replication of a person’s internal state without the need for verbal communication. Visual emotion recognition has been broadly studied and several end-toend deep neural networks (DNNs)-based and Machine learning-based models have been proposed but they lack the ability to be implemented in low-specification devices like robots, and vehicles. The drawbacks of conventional handcrafted feature-based Facial Emotion Recognition (FER) methods are eliminated by DNNs-based FER approaches. In spite of that, Deep Neural Network based FER techniques suffer from high processing costs and exorbitant memory requirements, their application is constrained in fields like Human-Robot Interaction (HRI) and HumanComputer Interaction (HCI) and relies on hardware requirements. In aforementioned study, we presented a computationally inexpensive and robust FER system for the perception of six basic emotions (i.e., disgust, surprise, fear, anger, happy, and sad) that is capable of running on embedded devices with constrained specifications. In the first step after pre-processing input images, geometric features are extracted from detected facial landmarks, considering the facial spatial position among influential landmarks. The extracted features are given as input to trainthe SVM classifier. Our proposed FER system was trained and evaluated experimentally using two databases, Karolinska Directed Emotional Faces (KDEF) and Extended Cohn-Kanade (CK+) database. Fusion of KDEF and CK+ datasets at the training level were also employed in order to generalize the FER system’s response to the variations of ethnicity, race, national and provincial backgrounds. The results show that our proposed FER system is optimized for real-time embedded applications with constrained specifications and yields an accuracy of 96.8%, 86.7% and 86.4% for CK+, KDEF and fusion of CK+ and KDEF databases respectively. As a part of our future research objectives, the developed system will make a robotic agent capable of perceiving emotion and interacting naturally without the need for additional hardware during HRI. 30cm.

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Through Wall Image Enhancement /

By Riaz, Muhammad Mohsin. Rawalpindi, MCS (NUST), 2013 . xxii,100 -p,

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Development of Enhanced Image Dehazing Techniques for security and Survelliance /

By Baig, Nasir . Rawalpindi, MCS (NUST), 2021 . xvi, 141 p

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Development of Edge Preserving Image Enhancement Techniques /

By Iqbal, Mehwish. Rawalpindi, MCS (NUST), 2021 . xviii, 181 p

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