PPT-Images and Filters CSE 455

Ali Farhadi Many slides from Steve Seitz and Larry Zitnick What is an image F Image Operations functions of functions F Image Operations functions of functions. Filters in this class are specified by two parameters the cutoff frequency and the filter order The frequency response of these filters is monotonic and the sharpness of the transition from the passband to the stop band is dictated by the filter ord 03 THD or Better Operates from 237V to 8V Power Supplies Low Noise High Frequency 8th Order Butterworth Lowpass Filter The LTC 10642 is a monolithic 8th order lowpass Butterworth filter which provides a maximally flat pass band The attenuation slope 1Hz to 40kHz Low Noise Wide Dynamic Range Guaranteed Operation for 237V and 5V Supply Low Power Consumption Guaranteed ClocktoCenter Frequency Accuracy of 08 Guaranteed Low Offset Voltages Over Temperature Very Low Center Frequency and Q Tempco Clock Flanders Corporation531 Flanders Filters Roadshington, NC 27889Phone: (252) 946-8081Fax: (252) 946-3425Toll Free: (800) 637-2803Website: www.flanderscorp.com FILTRATION aluminum media, all metal filt Final Project – Depth Vision. Omri Perez. 2013. Intro. Depth Cues. Pictorial Depth Cues. Physiological Depth Cues. Motion Parallax. Stereoscopic Depth Cues. Physiological Depth Cues. Two Physiological Depth Cues:. Dr . Kiran. . Tota-Maharaj. Senior . Lecturer in Water & Environmental Engineering , . University of Greenwich, UK. Dr Denver . Cheddie. Associate . Professor in Mechanical Engineering ,. University of Trinidad and Tobago. Concealing text in images as email attachments: Aradhye et al [15] estimated that 25% of spam emails contain images. C.-T. Wu et al Final Project – Depth Vision. Omri Perez. 2013. Intro. Depth Cues. Pictorial Depth Cues. Physiological Depth Cues. Motion Parallax. Stereoscopic Depth Cues. Physiological Depth Cues. Two Physiological Depth Cues:. CS5670: Intro to Computer Vision. Noah Snavely. Hybrid Images, . Oliva. et al., . http://cvcl.mit.edu/hybridimage.htm. Lecture 1: Images and image filtering. Noah Snavely. Hybrid Images, . Oliva. et al., . Sensitive to Performance of Filters used. Need to be robust to changes in orientation, scale, lighting and minor details (e.g. facial expression, glasses). Proposed Solution: Gabor filter bank. Comparison with DFT filter bank. Fast Filtering. Problems in Computer Vision. Computer Vision in One Slide. 1) Extract some features from some images . 2) Use these to formulate some . (hopefully linear) constraints. 3) Solve a . system of . Cascaded Integrator-Comb Filters James Gibbard What are CIC Filters? CICs are an optimised combination of an FIR filter and an interpolator or decimator Require no multiply operations, only addition and subtraction Prof. Kristen . Grauman. UT-Austin. …. Announcements. Office hours . Mon-Thurs 5-6 pm. Mon: Yong Jae, PAI 5.33. Tues/Thurs: Shalini, PAI 5.33. Wed: Me, ACES 3.446. cv-spring2011@cs.utexas.edu. for assignment questions outside of office hours. and . James Haralambides. Department of . Mathematics and Computer Science . Barry University. 11300 NE 2. nd. Ave.. Miami Shores, FL 33161. Phone: (305) . 899-3035. We present an algorithm that enhances the blood vessels of retinal images to support medical diagnosis and clinical study. Accurate imagery of blood vessel features such as diameter, curvature, and color is detrimental to the diagnosis of diseases and the application of appropriate treatments. The objectives of this work are in two main directions: a) locate, identify, and amplify blood vessel boundaries and structures, and b) exploit hardware parallelism to increase algorithmic efficiency. .