Date of Submission


Date of Award


Institute Name (Publisher)

Indian Statistical Institute

Document Type

Doctoral Thesis

Degree Name

Doctor of Philosophy

Subject Name

Computer Science


Machine Intelligence Unit (MIU-Kolkata)


Pal, Sankar Kumar (MIU-Kolkata; ISI)

Abstract (Summary of the Work)

The field of image processing deals with the manipulation of data which are inherently two-dimensional in nature. techniques of image processing sten from two principal application The areas, namely, Improvement of pictorial information for human interpretation and processing of scene data for automatic machine perception. These areas together have experienced a vigorous growth in recent years because they have offered a number of important applications in solving scientific and engineering problems. In biological and medical sciences, we are interested in automatie analysis and interpretation of radiographs, cell images micrographs. In netallurgical, geological and and tissue environmental sciences, we are concerned with the automatic analysis of fractographic pictures, electron-microscopic images, and particle morphology. In law enforcement, ve need machines which interpret fingerprints, handwriting and speech can spectrograna. In earth and space sciences, we are interested in automatic interpretation of satellite pictures and aerophotos. In computer and information sciences, we need algorithas for automatic recognition and reading of alphanumeric characters, drawing, geometrical configurations and pictures. In industrial application, we are interested in robots for product assembly, testing of semitinished products and quality control by automated inspection of pictures generated by infrared, visible radiation, X-rays or ultrasounds.Let us now give a brief introduction of the various image processing operations.1.2 IMAGE PROCESSING PRELIMINARIESAn image is a two dimensional light intensity function (x,y), where (x,y) denotes the spatial co-ordinate and(x,y) denotes the brightness (intensity) value at (x,Y). A digital image, on the other hand, ia a two dimensional discrete function (x,y) which has been digitized both in spatial co-ordinates and brightness. The brightness value f(x,y) is called the gray value (gray level ) at (x,y). Thus a digital image can be viewed as a two dimensional matrix whose row and column indicos identify a point, called a pixel, in the image and the corresponding matrix element value identifies the intensity level, called the gray level at that point. Throughout this report a digital image will be represented by F- [E(x,Y)1PxQ (1.1) where PxQ is the size of the image and r(x,y) - (0,1,.. L-1), the set of gray levels


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Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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