Digital Image Processing-Seminar
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 Computer Science Clay Active In SP Posts: 712 Joined: Jan 2009 07-08-2009, 05:27 PM Image Processing is processing of the image so as to reveal the inner details of the image for further investigation. With the advent of digital computers, Digital Image Processing has started revolutionizing the world with its diverse applications. The field of Image Processing continues, as it has since the early 1970â„¢s, on a path of dynamic growth in terms of popular and scientific interest and number of commercial applications. Use Search at http://topicideas.net/search.php wisely To Get Information About Project Topic and Seminar ideas with report/source code along pdf and ppt presenaion
 seminar class Active In SP Posts: 5,361 Joined: Feb 2011 23-03-2011, 09:45 AM   AIP-point-mm2.ppt (Size: 4.86 MB / Downloads: 236) Fundamental Steps in Computer Vision Today: Pre-processing • Segmentation • Point Processing What is point processing? • Grey level mapping • Histograms • Segmentation using thresholding • ImageJ • SW to do Image Processing and Analysis • Free: rsb.info.nih.gov/ij/ • Stabile (Java) • Extremely easy to learn and use • Comes with a C-like programming language, but we’ll only use the menus • Show… What is point processing? • Only one pixel in the input has an effect on the output • For example: – Changing the brightness, thresholding, histogram stretching Point processing • Grey level enhancement – Process one pixel at a time independent of all other pixels – For example used to correct Brightness and Contrast (remote control) Brightness • The brightness is the intensity • Change brightness: – To each pixel is added the value b – f(x,y) is the input image – g(x,y) is the (enhanced) output image • If b>0 => brighter image • If b<0 => less bright image Contrast • The contrast describes the level of details we can see • Change contrast: • Each pixel is multiplied by a – f(x,y) is the input image – g(x,y) is the (enhanced) output image • If a>1 => more contrast • If a<1 => less contrast Combining brightness and contrast • Both: • A straight line • Greylevel mapping • X-Axis: Input Value • Y-Axis: Output Value • This plot: Identity – Output equals Input: a=1 and b=0 • Apply to each pixel! • To save time the greylevel mapping can be written as a Lookup-Table: Histogram • How to set the greylevel mapping Histogram Types Histogram processing Improving contrast • Humans cannot tell the difference between greylevel values too close to each other • So: spread out the greylevel values • This is called histogram stretching Histogram stretching • Something really different… Segmentation • Until now: Image processing (manipulation) • Image analysis: segmentation • The task: – Information versus noise – Foreground (object) versus background Segmentation • Use greylevel mapping and the histogram • When two peaks (modes) of a histogram correspond to object and noise (Show: AuPbSn40, bridge) • Find a THRESHOLD value, T, that separates the two peaks. This process is called THRESHOLDING • Algorithm: – If f(x,y) > T then g(x,y) = 1, else g(x,y) = 0 – ( or reverse ) • Result: a binary image where object pixels = 1 and noise = 0 • (Show: AuPbSn40, bridge, 2Dgel, blobs) Segmentation • Often, obtaining a bi-modal histogram is the ”sole” purpose of the image acquisition: – Lighting – Setup – Camera – Lens Segmentation • How to define the Theshold? – If we have a good setup => the Threshold is static! – Find it during training • But the histogram is NEVER static!! What to remember • Point processing – Pixel-wise operations – Greylevel mapping • Setting brightness and contrast – Histogram processing – Segmentation: Thresholding. Bimodal histogram
 seminar paper Active In SP Posts: 6,455 Joined: Feb 2012 20-02-2012, 04:04 PM to get information about the topic image processing full report ppt and related topic refer the link bellow topicideashow-to-digital-image-processing-full-report topicideashow-to-image-processing-compression-techniques-download-full-seminar and presentation-report topicideashow-to-image-processing-project and implimentations topicideashow-to-image-processing-project and implimentation-ideas topicideashow-to-digital-image-processing-seminar and presentation topicideashow-to-digital-image-processing-project and implimentations topicideashow-to-image-processing-project and implimentations-ideas topicideashow-to-digital-image-processing-full-report?page=5 topicideashow-to-image-processing-compression-technique