Emotion plays an important role in daily life of human being. The need and importance of automatic emotion recognition has grown with increasing role of human computer interaction applications. All emotion is derived from the presence of stimulus in
My project proposal that i have submitted to my Image Processing teacher as partial fulfillment of Image Processing subject @ PMC.
Descripción completa
Full description
The foundations for biometrics or identification systems were laid long ago. Today these developments have contributed to the identification of people, access to private sites and all places that need security and order with the help of computerized
Book about pattern recognition
tesDeskripsi lengkap
Lab report on Image processing
Full description
image processing using matlabFull description
contoh dari jurnal image processingFull description
CS804B, M1_1, Lecture Notes
ini merupakan contoh jurnal image processing
Full description
Descripción completa
Digital Image Processing is to perform Image Processing on images with the help of Algorithms. Now a day's Image processing technique
Code No. B2507 JAWAHARLAL NEHRU TECHNOLOGY UNIVERSITY, HYDERABAD M .Tech. II Semester Supplementary Examinations, March – 2009 IMAGE PROCESSING & PATTERN RECOGNITION (Software Engineering) Time: 3 hours Max. Marks.60 Answer any Five questions All questions carry equal marks --1.a) b)
Describe the basic concepts and terminology involved in digital image processing. Describe the metrics and topological properties of digital images.
2.
Describe the following in brief: a) Image quality b) Image function c) Noise Image d) Pixel brightness transformation
3.a) b)
Describe the position dependent brightness correction method. Explain the geometric transformation methods.
4.a) b)
Describe the edge detection methods. Write a brief notes on image smoothening
5.
Describe the threshold detection methods.
6.a) b)
Describe the morphological concepts and principles. Write a brief notes on morphological segmentation.
7.a) b)
Describe the methods based on spatial frequencies. Compare and contrast the differences between boundary descriptors and regional descriptors.
8.a) b)
Describe the basic concepts and applications of pattern recognition. Describe a simple automatic pattern recognition model. ****
