| Topic : multimedia and imaging APIs |
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Activity:
72 views;
last activity : 03 09 2013 01:49:04 +0000
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Computer vision
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Face Detection
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Medical imaging
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Agricultural applications
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Microscope image processing
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Raster Operation
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As we all know computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technology discipline, image processing is important to this and yes it is beneficial. |
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I would like to bring another angle from which its benefits can be more visible. Computer vision can also be described as a complement of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision, on the other hand, studies and describes artificial vision systems that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields.
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Another case where image processing techniques are used is face detection. It is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and bodies. Face detection can be regarded as a specific case of object-class detection; in object-class detection, the task is to find the locations and sizes of all objects in an image that belong to a given class. Examples include upper torsos, pedestrians, and cars. |
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I guess this is where image processing techniques is extensively used. Medical
imaging refers to the techniques and processes used to create images of the
human body for clinical purposes or medical science (including the study of
normal anatomy and physiology). As a discipline and in its widest sense, it is
part of biological imaging and incorporates radiology, radiological sciences, endoscopy,
(medical) thermography and medical photography
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I just wanted to make clear that in the clinical context, medical imaging is generally equated to radiology or "clinical imaging" and the medical practitioner responsible for interpreting the images is a radiologist. Diagnostic radiography designates the technical aspects of medical imaging and in particular the acquisition of medical images.
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Image processing can be used to improve agriculture. Classification, identify deceases, etc can be done using these techniques. By Satellite image analysis you can find agricultural areas, forest, water resources.
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Microscope image processing is a broad term that covers the use of digital
image processing techniques to process, analyze and present images obtained
from a microscope. Such processing is now commonplace in a number of diverse
fields such as medicine, biological research, cancer research, drug testing, metallurgy,
etc. A number of manufacturers of microscopes now specifically design in
features that allow the microscopes to interface to an image processing system.
This is a area where the applications are yet to be developed but still I feel
positive about it.
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Using Image processing technique large scale poster is created with a small uploaded image through raster operation where an image is changed into postscript. |
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