'Background region' diaporamas de présentation

CS589-04 Digital Image Processing Lecture 5. Morphological Image Processing

CS589-04 Digital Image Processing Lecture 5. Morphological Image Processing. Spring 2008 New Mexico Tech. Introduction. Morphology : a branch of biology that deals with the form and structure of animals and plants

1.8k views • 107 slides

Spring 2009

CSE489-02 & CSE589-02 Multimedia Processing and Applications Lecture 5. Morphological Image Processing. Spring 2009. Introduction. Morphology : a branch of biology that deals with the form and structure of animals and plants

1.08k views • 107 slides

CS589-04 Digital Image Processing Lecture 5. Morphological Image Processing

CS589-04 Digital Image Processing Lecture 5. Morphological Image Processing. Spring 2008 New Mexico Tech. Introduction. Morphology : a branch of biology that deals with the form and structure of animals and plants

1.12k views • 107 slides

Image Processing

Image Processing. ???????. Content. Smoothing Image Morphology Some Applications of Image Morphology Flood Fill Resize Image Pyramids Threshold. Image Processing. Smoothing. Smoothing. Smoothing is also called blurring Why smoothing? reduce noise and camera artifact

1.22k views • 87 slides

Imaging Analysis: Point-Like Sources and Diffuse Emission

Imaging Analysis: Point-Like Sources and Diffuse Emission. K.D.Kuntz The Henry A. Rowland Department of Physics and Astronomy Johns Hopkins University. Urbino 2008. Introduction. Imaging analysis ? imaging spectroscopy Few X-ray detectors are without spectroscopic capabilities

599 views • 59 slides

Region-Level Motion-Based Background Modeling and Subtraction Using MRFs

Region-Level Motion-Based Background Modeling and Subtraction Using MRFs. Shih-Shinh Huang Li-Chen Fu Pei-Yung Hsiao 2007 IEEE. Abstract.

341 views • 26 slides

Non-Local Characterization of Scenery Images : Statistics, 3D Reasoning, and a Generative Model

Non-Local Characterization of Scenery Images : Statistics, 3D Reasoning, and a Generative Model. Tamar Avraham and Michael Lindenbaum Technion. Characterization of Scenery Images: Overview. scenery images (LabelMe). manual segmentation and region annotation. Statistical Characterization

393 views • 25 slides

Non-Local Characterization of Scenery Images : Statistics, 3D Reasoning, and a Generative Model

Non-Local Characterization of Scenery Images : Statistics, 3D Reasoning, and a Generative Model. Tamar Avraham and Michael Lindenbaum Technion. Characterization of Scenery Images: Overview. scenery images (LabelMe). manual segmentation and region annotation. Statistical Characterization

251 views • 25 slides

GRBs & VIRGO C7 run

303 views • 20 slides

Joint IAEA-ICTP Workshop on Nuclear Reaction Data for Advanced Reactor Technologies

257 views • 11 slides

A new SAS background task

A new SAS background task. Why a SAS background task?. Point sources in FF modes: Source and background regions could be well defined. Background subtraction possible. MOS SW mode: No background region in central CCD, but in peripheric CCDs. Background subtraction possible.

278 views • 6 slides