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# Applications of Digital image processing in Medical Field

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All possible Applications of image processing

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### Applications of Digital image processing in Medical Field

1. 1. Presented By :- Ashwani Srivastava Ashwani.sri89@gmail.com
2. 2.  An image may be defined as a two-dimensional function f(x, y) where x and y are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x, y) is called the intensity or gray level of the image at that point.  When x, y, and the amplitude values of f are all finite, discrete quantities, we call the image a digital image. References at the end are listed. 2
3. 3. Pixel Fig:- Digital Image from Google Images References at the end are listed. 3
4. 4.  The field of digital image processing refers to processing digital images by means of a digital computer.  Digital image is composed of a finite number of elements, each of which has a particular location and value.  These elements are referred to as picture elements, image elements, and pixels. Pixel is the term most widely used to denote the elements of a digital image. References at the end are listed. 4
5. 5. Low-Level Processes:-  Low-level processes involve primitive operations such as Image Pre-processing to Reduce Noise Contrast Enhancement Image Sharpening  A low-level process is characterized by the fact that both its inputs and outputs are images. References at the end are listed. 5
6. 6. Mid-Level Processes:-  Mid-level processing on images involves tasks such as segmentation (partitioning an image into regions or objects), description of those objects to reduce them to a form suitable for computer processing, and classification (recognition) of individual objects.  A mid-level process is characterized by the fact that its inputs generally are images, but its outputs are attributes extracted from those images (e.g., edges, contours, and the identity of individual objects). References at the end are listed. 6
7. 7. High-Level Processes:-  Higher-level processing involves “making sense” of an ensemble of recognized objects, as in image analysis, and performing the cognitive functions normally associated with vision. References at the end are listed. 7
8. 8. References at the end are listed. 8
9. 9.  Major uses of imaging based on gamma rays include nuclear medicine and astronomical observations.  In nuclear medicine, the approach is to inject a patient with a radioactive isotope that emits gamma rays as it decays.  Images are produced from the emissions collected by gamma ray detectors. References at the end are listed. 9
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11. 11.  The best known use of X-rays is medical diagnostics, but they also are used extensively in industry and other areas, like astronomy.  X-rays for medical and industrial imaging are generated using an X-ray tube, which is a vacuum tube with a cathode and anode. References at the end are listed. 11
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13. 13.  Applications of ultraviolet “light” are varied.  They include lithography, industrial inspection, microscopy, lasers, biological imaging, and astronomical observations.  Ultraviolet light is used in fluorescence microscopy, one of the fastest growing areas of microscopy. References at the end are listed. 13
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17. 17.  The dominant application of imaging in the microwave band is radar.  The unique feature of imaging radar is its ability to collect data over virtually any region at any time, regardless of weather or ambient lighting conditions.  Radar is the only way to explore inaccessible regions of the Earth’s surface.  An imaging radar works like a flash camera in that it provides its own illumination (microwave pulses) to illuminate an area on the ground and take a snapshot image. References at the end are listed. 17
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19. 19.  The major applications of imaging in the radio band are in medicine and astronomy.  In medicine radio waves are used in magnetic resonance imaging (MRI). This technique places a patient in a powerful magnet and passes radio waves through his or her body in short pulses. Each pulse causes a responding pulse of radio waves to be emitted by the patient’s tissues.  The location from which these signals originate and their strength are determined by a computer. References at the end are listed. 19
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21. 21.  Gonzalez, Rafael C. Digital Image Processing / Richard E.Woods  www.wikipedia.com References at the end are listed. 21
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