Digital signal processor [edit] Typical characteristics Digital signal processing algorithms typically require a large number of mathematical operations to be performed quickly and repetitively on a set of data. Signals (perhaps from audio or video sensors) are constantly converted from analog to digital‚ manipulated digitally‚ and then converted again to analog form‚ as diagrammed below. Many DSP applications have constraints on latency; that is‚ for the system to work‚ the DSP operation must
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A PREPROCESSING FRAMEWORK FOR AUTOMATIC UNDERWATER IMAGES DENOISING * U.Deepika III MCA Dr.S.N.Geethalakshmi Associate Professor Dr.P.Subashini Associate Professor Department of Computer Science Avinashilingam Institute for Home Science and Higher Education for Women University‚ Coimbatore‚ India. *mithilydeep@gmail.com Abstract A major obstacle to underwater operations using cameras comes from the light absorption and scattering by the marine environment‚ which limits the visibility
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“EXTRACTION AND QUANTIFICATION OF BRAIN TUMOR FROM MRI IMAGE” CHAPTER 1 INTRODUCTION 1.1 GENERAL: The principle task of our project is to recognize a tumor and its quantifications from a particular MRI scan of a brain image using digital image processing techniques and compute the area of the tumor by fully automated process. In medical imaging‚ segmentation of images plays a vital role in stages which occur before implementing object recognition
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9‚ NO. 3‚ SEPTEMBER 2008 377 License Plate Recognition From Still Images and Video Sequences: A Survey Christos-Nikolaos E. Anagnostopoulos‚ Member‚ IEEE‚ Ioannis E. Anagnostopoulos‚ Member‚ IEEE‚ Ioannis D. Psoroulas‚ Vassili Loumos‚ Member‚ IEEE‚ and Eleftherios Kayafas‚ Member‚ IEEE Abstract—License plate recognition (LPR) algorithms in images or videos are generally composed of the following three processing steps: 1) extraction of a license plate region; 2) segmentation of the plate
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generate one panoramic image from a series Don Bosco Institue of Technology‚ Mumbai University. Image stitching or photo stitching is the process of combining of smaller‚ overlapping images. multiple photographic images with overlapping fields of view E-mail: meetmirza@yahoo.co.in‚anitafernandes05@gmail.com‚lobosharon@gmail.com‚ of invariant Recently there has been great progress in the use to produce a segmented panorama or high-resolutionpriyanka2908@gmail.com. image. features [3‚ 4‚ 5]
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A PROJECT REPORT ON “FINGERPRINT RECOGNITION AND IMAGE ENHANCEMENT USING MATLAB” Submitted in partial fulfillment Of the requirements for the award of the degree in BACHELOR OF TECHNOLOGY IN APPLIED ELECTRONICS AND INSTRUMENTATION ENGINEERING SUBMITTED BY: SHAKTI ABHISHEK- 0803112 SATISH GOYAL - 0803064 ROHIT DASH - 0803086 MD. IRFAN ARIF RAHMAN - 0803117 [pic] DEPARTMENT OF APPLIED ELECTRONICS AND INSTRUMENTATION ENGINEERING GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY Biju Patnaik University
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been greatly benefited and new avenues for research opened up‚ one such field being the real time medical image processing whose applications have allowed medical practitioners worldwide to better diagnosis abilities. It consists of the implementation of various image processing algorithms like edge detection using mask filters‚ edge enhancement‚ interpolation etc resulting in better images suitable for diagnosis. The algorithmic computations in real-time may have high level of time based complexity
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Electronic Medical Image Archiving System for Health Care in Nigeria Olaniyi‚ Olayemi Mikail Department of Computer Engineering Federal University of Technology Minna‚ Nigeria Omotosho Adebayo and Robert Jane Department of Computer Science and Technology Bells University of Technology‚ Ota‚ Nigeria Oke Alice.O Department of Computer Science and Engineering Ladoke Akintola University of Technology‚ Ogbomoso‚ Nigeria. e-mail: alitemi2006 {at] yahoo.com Abstract—Medical images require immediate access
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Technology (IJCTT) - volume4Issue4 –April 2013 An approach for segmentation of medical images using pillar K-means algorithm M.Pavani#1‚ Prof. S.Balaji*2 # Department of Electronics and Computers Engineering‚ K.L. University Vaddeswaram‚ Vijayawada‚ India. * Department of Electronics and Computers Engineering‚ K.L. University Vaddeswaram‚ Vijayawada‚ India. ABSTRACT This paper presents an approach for image segmentation using pillar K-Means algorithm. In this paper the segmentation process
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arithmetic errors due to overflow and truncation problems. What consequences could result from errors in image storage systems due to loss of image details? The consequences suffered from detail loss in images‚ due to an error in the storage systems hosting the data‚ depend on the criticality of the image and the decision tree for which it is being used. An incomplete (lack of detail) image containing crucial referential data can result in decisions being made based on a number of dangerous false
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