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Image Analysis

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Image Analysis: Image analysis is the taking out of meaningful information from images; mostly from digital images by means of digital image processing techniques Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as recognizing a individual from their face. Computers are essential for the study of large amounts of data, for tasks that need complex computation, or for the abstraction of quantitative information. Alternatively, the human visual cortex is an excellent image analysis apparatus, specifically for takeout higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be substituted by computers. Hence, many important image analysis tools such as edge detectors and neural networks are motivated by human visual perception models. Computer Image Analysis:
Computer Image Analysis mainly contains the fields of computer or machine vision, and medical imaging, and makes dense use of pattern recognition, digital geometry, and signal processing. This field of computer science developed in the 1950s at academic institutions such as the MIT A.I. Lab, originally as a branch of artificial intelligence and robotics. It is the quantitative or qualitative characterization of two-dimensional (2D) or three-dimensional (3-D) digital images. 2D images are, for example, to be analyzed in computer vision, and 3-D images in medical imaging. The field was established in the 1950s—1970s, for example with pioneering contributions by Azriel Rosenfeld, Herbert Freeman, Jack E. Bresenham, or King-Sun Fu.
There are many different techniques used in automatically analyzing images. Each technique may be useful for a small range of tasks, however there still aren't any known methods of image analysis that are generic enough for wide ranges of tasks, compared to the abilities of a human's image analyzing capabilities. Examples of image analysis techniques in different fields include:
2D and 3-D object recognition,
Image segmentation,
Motion detection e.g. Single particle tracking,
Video tracking,
Optical flow,
Medical scan analysis,
3-D Pose Estimation,
Automatic number plate recognition.
Digital Image Analysis :
Digital Image Analysis is when a computer or electrical device automatically studies an image to obtain useful information from it. Note that the device is often a computer but may also be an electrical circuit, a digital camera or a mobile phone. The applications of digital image analysis are continuously expanding through all areas of science and industry, including: Medicine such as detecting cancer in an MRI scan.
Microscopy, such as counting the germs in a swab.
Remote sensing, such as detecting intruders in a house, and producing land cover/land use maps.
Astronomy, such as calculating the size of a planet.
Materials science, such as determining if a metal weld has cracks.
Machine vision, such as to automatically count items in a factory conveyor belt.
Security, such as detecting a person's eye color or hair color.
Robotics, such as to avoid steering into an obstacle. Optical character recognition, such as automatic license plate detection. Assay micro plate reading, such as detecting where a chemical was manufactured.
Metallography, such as determining the mineral content of a rock sample.
Object-based Image Analysis
Object-Based Image Analysis (OBIA) – also Geographic Object-Based Image Analysis (GEOBIA) – "is a sub-discipline of geo information science devoted to (...) partitioning remote sensing (RS) imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scale”. Each of these application areas has spawned separate subfields of digital image analysis, with a large collection of specialized algorithms and concepts—and with their own journals, conferences, technical societies, and so on.

Number of conferences all over the globe: IEEE Technically Co-Sponsored Science and Information Conference 2014.
27th to 29th August 2014 London, United Kingdom.
International Conference on Applications of Fractals and Wavelets.
SPIE Medical Imaging 2015.
Orlando, Florida, United States of America Coimbatore, Tamil Nadu, India.
2015 IEEE International Conference on Electrical, Computer and Communication Technologies.
Coimbatore, Tamil Nadu , India.
5th Annual International Conference on Advances in Biotechnology (BIOTECH 2015) .
Kanpur, India.
SPIE Defense + Security.
Baltimore, MD, United States of America.
10th International Conference on Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Agriculture.
Hansestadt Hamburg, Germany.
15th Industrial Conference on Data Mining.
Hansestadt Hamburg, Germany
11th International Conference on Machine Learning and Data Mining
Hansestadt Hamburg, Germany
Relevant Associations and Societies: Belarusian Association for Image Analysis & Recognition.
Pattern Recognition Contact Group of the SOGESCI.
Special Interest Group of the Brazilian Computer Society.
Pattern Recognition and Machine Intelligence Committee of the Chinese Association of Automation.
Cuban Association for Pattern Recognition.
Danish Pattern Recognition Society.
French Association for Pattern Recognition and Interpretation.
Greek Association of Image Processing and Digital Media.
The Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI) .
Computer Vision and Pattern Recognition Group of Korea Information Science Society.
Major Companies Associated with the Image analysis:
ISEN Tech & Trading Co., LTD

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This page was last updated on 15th Apr, 2015

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