Image Digitalization And Image Digitization

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1.4.1. Image Digitization
An image captured by a sensor is expressed as a continuous function f(x,y) of two co-ordinates in the plane. In Image digitization the function f(x,y) is sampled into a matrix with n columns and m rows. An integer value is assigns to each continuous sample in the image quantization. The continuous range of the image function f(x,y) is split into k intervals. When finer the sampling (i.e. the larger m and n) and quantization (the larger k) the better the approximation of the continuous image function f(x, y). Two questions should be answered in connection with image function sampling:
First, the sampling period should be determined - the distance between two neighboring sampling points in the image.
Second, the geometric arrangement of sampling points (sampling grid) …show more content…

Digital image processing encompasses processes whose inputs and outputs are images and, in addition encompasses processes that extract attributes from images of the area containing the text, preprocessing that image, extracting or segmenting individual characters, describing the characters in a form suitable for computer processing, and recognizing those individual characters are in the scope of which is called digital image processing. Digital Image Processing Applications:
The most important commercial application of image processing is in geology. The image processing is also used in mineral, oil exploration and marine acquisition.
Office automation: optical character recognition, document processing cursive script recognition, logo and icon recognition etc.
Industrial automation: automation inspection system, non-destructive testing, automatic assembling, process related to VLSI manufacturing, PCB checking.
Robotics: oil and natural gas exploration

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