Image Processing And Its Applications is a complete final year project materials for final year student. You can download the complete materials from chapter one to five with references and abstract below.
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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
1.0 INTRODUCTION
1.1 STATEMENT OF PROBLEM
1.2 PURPOSE OF STUDY
1.3 IMPORTANCE OF STUDY
1.4 DEFINITION OF TERMS
1.5 ASSUMPTION 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
5.1 LIMITATION OF STUDY
5.2 SUGGESTION FOR FURTHER RESEARCH
5.3 REFERENCES
CHAPTER ONE
1.0 INTRODUCTION
Image processing is a physical process used to convert an image signal into a physical image. The image signal can be either digital or analog. The actual output itself can be an actual physical image or the characteristics of an image. The most common type of image processing is photography. In this process, an image is captured using a camera to create a digital or analog image. In order to produce a physical picture, the image is processed using the appropriate technology based on the input source type.
In digital photography, the image is stored as a computer file. This file is translated using photographic software to generate an actual image. The colors, shading, and nuances are all captured at the time the photograph is taken the software translates this information into an image.
1.1 STATEMENT OF PROBLEM
The financial constraints had a serious impact on the depth and breadth of technology development that could be done. By the 1970s, computing equipment costs had dropped substantially making digital image processing more realistic. Film and software companies invested significant funds into the development and enhancement of image processing, creating a new industry.
1.2 PURPOSE OF STUDY
In addition to photography, there are a wide range of other image processing operations. The field of digital imaging has created a whole range of new applications and tools that were previously impossible.
Face recognition software, medical image processing and remote sensing are all possible due to the development of digital image processing. Specialized computer programs are used to enhance and correct images. These programs apply algorithms to the actual data and are able to reduce signal distortion, clarify fuzzy images and add light to an underexposed image.
1.3 IMPORTANCE OF STUDY
There are three major benefits to digital image processing. The consistent high quality of the image, the low cost of processing and the ability to manipulate all aspects of the process are all great benefits. As long as computer processing speed continues to increase while the cost of storage memory continues to drop, the field of image processing will grow.
1.4 DEFINITION OF TERMS
Processing and Analysis – Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing.
Implementations and Architectures – Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing.
Coding and Transmission – Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video.
Retrieval and Multimedia – Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography.
Applications – Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security.
1.5 ASSUMPTION OF STUDY
A digital image processing allows the use of much more complex algorithms for image processing, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.
Digital cameras generally include dedicated digital image processing chips to convert the raw data from the image sensor into a color-corrected image in a standard image file format. Images from digital cameras often receive further processing to improve their quality, a distinct advantage that digital cameras have over film cameras. The digital image processing typically is executed by special software programs that can manipulate the images in many ways.
Many digital cameras also enable viewing of histograms of images, as an aid for the photographer to understand the rendered brightness range of each shot more readily.
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