IMAGE PROCESSING AND ITS APPLICATIONS

ABSTRACT In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.

TABLE OF CONTENTS CERTIFICATION PAGE DEDICATION ACKNOWLEDGEMENT ABSTRACT
CHAPTER ONE 1.0 INTRODUCTION 1.1STATEMENT OF PROBLEM 1.2PURPOSE OF STUDY 1.3IMPORTANCE OF STUDY 1.4DEFINITION OF TERMS 1.5ASSUMPTION OF STUDY
CHAPTER TWO 2.0 LITERETURE REVIEW 2.1 HISTORY 2.2 IMAGING CHAIN
CHAPTER THREE 3.0 MICROSCOPE IMAGE PROCESSING 3.1 IMAGE ACQUISITION 3.3 2D IMAGE TECHNIQUES 3.4 3D IMAGE TECHNIQUES 3.5 ANALYSIS
CHAPTER FOUR 4.0 IMAGE PROCESSING APPLICATIONS 4.1 COMPUTER VISION 4.2 OPTICAL SORTING 4.3 AUGEMENTED REALITY 4.4 FACE DETECTION 4.5 FEATURE EDETECTION 4.6 LAND DEPARTURE WARNING SYSTEM
CHAPTER FIVE: CONCLUSION 5.1LIMITATION OF STUDY 5.2SUGGESTION FOR FURTHER RESEARCH 5.3 REFERENCES