Search results for "Image processing" - Rhea

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Page title matches

• Image Processing Old Kiwi
  ===Image Matching=== ...mates can be used in image matching (edge template matching and gray-level image matching). This can be applied to stereo matching and feature tracking. Mo
  4 KB (549 words) - 14:40, 25 April 2008
• Student summary image processing
  ...ntals of Image processing,how images are segmented and how those segmented image is analysed on the basis of pixels .The tools used in this domain and will
  190 B (32 words) - 15:26, 19 December 2009
• Non-Linear Filters for Image Processing
  235 B (33 words) - 22:21, 6 December 2009
• Image Processing (Nolte)
  4 B (1 word) - 15:27, 19 December 2009
• Image Processing Recitation
  ...30 November. This page attempts to present a very general overview of the image filtering process, an understanding of boundary conditions, and examples of Image Processing:
  5 KB (811 words) - 16:19, 19 December 2009
• Coding for Android on Windows - Image processing - C Code
  ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]]- Image processing - C++ Code== =Image processing on an Android phone - Lowpass filter an Image - C++ code=
  3 KB (486 words) - 11:58, 20 April 2012
• Coding for Android on Windows - Image processing - Java Code
  ==[[Coding_for_Android_on_Windows|Coding for Android on Windows]] - Image processing - Java Code== =Image processing on an Android phone - Lowpass filter an Image - Java code=
  7 KB (1,278 words) - 11:57, 20 April 2012
• 2013 Spring Image Processing ECE 637 Bouman
  [[Category:Image ProcessingECE 637Spring2013Bouman]] =[[ECE637]]: Digital Image Processing I, [[Intro_Prof_Charles_Bouman|Prof. Bouman]], Spring 2013=
  3 KB (370 words) - 11:22, 29 May 2013
• Lecture1 video ECE637 Image Processing 1 Bouman
  [[Category:image processing]] =Digital Image Processing 1 ([[ECE637]])=
  618 B (72 words) - 12:51, 26 January 2013
• Lecture2 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 2 - CTFT and CSFT [[Category:Image ProcessingECE 637Spring2013Bouman]]
  233 B (29 words) - 10:06, 13 February 2013
• Lecture3 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 3 - CSFT and Rep and Comb Relations [[Category:Image ProcessingECE 637Spring2013Bouman]]
  251 B (34 words) - 10:07, 13 February 2013
• Lecture4 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 4 - Optical Imaging Systems [[Category:Image ProcessingECE 637Spring2013Bouman]]
  243 B (29 words) - 10:07, 13 February 2013
• Lecture5 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 5 - Helical Scan Multislice CT and PET [[Category:Image ProcessingECE 637Spring2013Bouman]]
  254 B (33 words) - 10:07, 13 February 2013
• Lecture6 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 6 - Tomographic Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
  246 B (30 words) - 10:08, 13 February 2013
• Lecture7 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 7 - FPB and Magnetic Resonance Imaging [[Category:Image ProcessingECE 637Spring2013Bouman]]
  254 B (33 words) - 10:09, 13 February 2013
• Lecture8 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 8 - MRI Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
  238 B (29 words) - 10:11, 13 February 2013
• Lecture9 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 9 - MRI and C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
  241 B (29 words) - 10:12, 13 February 2013
• Lecture10 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 10 - C-programming [[Category:Image ProcessingECE 637Spring2013Bouman]]
  235 B (29 words) - 10:13, 13 February 2013
• Lecture11 video ECE637 Image Processing 1 Bouman
  Digital Image Processing I - Lecture 11 - DTFT, DSFT, Sampling, and Reconstruction [[Category:Image ProcessingECE 637Spring2013Bouman]]
  261 B (33 words) - 10:14, 13 February 2013
• ECE637 Bouman lectures Image Processing sLecture mhossain
  [[Category:image processing]] ...n_lectures_Image_Processing_sLecture_mhossain|The Bouman Lectures on Image Processing]]'''
  2 KB (246 words) - 07:21, 26 February 2014

Page text matches

• HKN QE (ECEPhDQE)
  *[[HKNQE_Communications_and_Signal_Processing|Communications and Signal Processing]] [[Image:ECE600QE-1.pdf]]
  626 B (74 words) - 09:44, 3 December 2008
• ECE:CNSIP area
  = Communication, Networking, Image and Signal Processing (CNSIP) Research in ([[ECE]])= Purdue University has a rich and long history in communications and signal processing. For example, did you know the the following facts?
  3 KB (360 words) - 07:01, 25 June 2012
• CNSIPseminars
  :"Designing Perceptually-Based Image Filters in the Modulation Domain" :"A Signal-Processing Approach to Modeling Vision, and Applications"
  5 KB (656 words) - 14:36, 4 May 2011
• ECE438 (BoutinSpring2009)
  ...p://www.ee.ic.ac.uk/hp/staff/dmb/courses/speech/speech.htm Link] to speech processing course by Mike Brooks. Look at section 1, page 1.5-1.6 for "my speech" exam ...ering material (ECE438BoutinSpring2009)| Some material for the lectures on image filtering]]
  9 KB (1,235 words) - 10:15, 11 January 2010
• Research Group List
  *[[ECE:CNSIP area| Communication, Networking, Signal and Image Processing (CNSIP) area (from ECE)]]
  493 B (74 words) - 11:24, 25 May 2009
• List of Course Wikis
  :[[2015_Spring_ECE_438_Ersoy|ECE438: "Digital SIgnal Processing", Prof. Ersoy]] :[[2014_Fall_ECE_438_Boutin|ECE438: "Digital SIgnal Processing"]]
  13 KB (1,570 words) - 13:53, 7 August 2018
• ECE637 (BoumanSpring2009)
  [[Category:image processing]]
  1 KB (200 words) - 08:03, 9 April 2013
• CourseNotes1 (BoutinSpring2009)
  [[Category:signal processing]] -the pixels in a bitmap image (grayscale) can have a value of 0,1,2,...,255 for each individual pixel.
  3 KB (532 words) - 06:43, 16 September 2013
• Interactive CNSIP area presentation
  ** Signal Processing ** Image and Video Processing
  258 B (29 words) - 08:56, 27 March 2009
• CourseNotes30 (BoutinSpring2009)
  [[Category:signal processing]] ...This over exposure can cause certain details to become washed out in your image.
  2 KB (324 words) - 06:45, 16 September 2013
• Course evaluation (ECE438BoutinSpring2009)
  ...review of ECE301 and ECE302 material so we can do more speech/sound/image processing instead? --[[User:Mboutin|Mboutin]] 16:08, 28 April 2009 (UTC) ...o the "quiz" we had on Wednesday, I enjoyed learning both speech and image processing and would hate to have to sacrifice one for the other. One thing to keep i
  4 KB (709 words) - 13:42, 3 May 2009
• Reading guide (ECE438BoutinSpring2009)
  Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. ...vise.www.ecn.purdue.edu/VISE/ee438L/lab9/pdf/lab9a.pdf First lab on speech processing]
  8 KB (1,226 words) - 11:40, 1 May 2009
• Meta Course List
  :[[ECE438|ECE438: "Digital Signal Processing with Applications"]] *[[ECE438|ECE 438]]: "Digital Signal Processing with Applications"
  4 KB (474 words) - 07:08, 4 November 2013
• ECE438 (BoutinFall2009)
  =Rhea Section for [[ECE438|ECE 438: Digital Signal Processing with Applications]] Professor [[User:mboutin|Boutin]], Fall 2009= ::Stats: mean=69.7, median=70, std=28.3, grade histogram:[[Image:test1HistECE438F09.png|300px]]
  7 KB (1,067 words) - 12:05, 25 June 2010
• ECE662:BoutinSpring08 Old Kiwi
  * [[Image Processing_Old Kiwi|Image Processing]]
  6 KB (747 words) - 05:18, 5 April 2013
• Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi
  .. image:: mortiz_lec13.gif ...ocessing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, lik
  8 KB (1,354 words) - 08:51, 17 January 2013
• Bayes Classification: Experiments and Notes Old Kiwi
  [[Image:Hcd_Old Kiwi.jpg|none|500px|left|thumb|Figure 1]] [[Image:Hca_Old Kiwi.jpg|none|500px|left|thumb|Figure 2]]
  4 KB (735 words) - 22:49, 8 March 2008
• Old QE question numbering Old Kiwi
  |ee??? || CS-2 || (CS-1) || (Digital) Signal Processing |ee637 || CS-5 || (N/O) || Image Processing
  2 KB (279 words) - 23:00, 9 March 2008
• What is Pattern Recognition Old Kiwi
  * Classify an MRI Image [[Image:StepsPatternRecog_Old Kiwi.jpg]]
  3 KB (436 words) - 08:43, 10 April 2008
• ECE637:BoumanSpring08 Old Kiwi
  This is the page for the course ECE637: Digital Image Processing I.
  646 B (97 words) - 21:22, 1 May 2008