Type of Document Thesis Author Muddu, Prashant S Author's Email Address firstname.lastname@example.org URN etd-11202003-060632 Title A Study of Image Transmission through a Fiber-Optic Conduit and its Enhancement Using Digital Image Processing Techniques Degree Master of Science Department Electrical and Computer Engineering, Department of Advisory Committee
Advisor Name Title Rajendra Arora Committee Chair Keywords
- Digital Image Processing
Date of Defense 2003-11-18 Availability unrestricted AbstractMany non-communication fiber optic applications use single optic fibers bundled together. There exist two types of fiber bundles namely coherent and non-coherent fiber bundles. In the non-coherent fiber bundles, the individual fibers are fused together in no particular order. These bundles are useful in the delivery of light but not image.
A coherent fiber bundle is a collection of single fiber optic strands assembled together so that the relative orientation of the individual fibers is maintained throughout the length of the bundle. The result is that any pattern of illumination incident at the input end of the bundle re-emerges from the output end with the image preserved. Imaging fiber bundles can be made in a variety of shapes and sizes, with the most common having a circular cross section. Magnification can be achieved by the use of tapered fibers in the bundle. The amount of image detail (resolving power) depends on the diameter of each fiber core.
The quality of the image acquired can be highly improved upon by using digital image-processing techniques. This thesis attempts to explore the field of digital image-processing techniques, which would prove useful for the purpose of optical image enhancement. Methods and objectives vary with the application. Because the objective of image enhancement is dependent on the application context, and the criteria for enhancement are often subjective or too complex to be easily converted to useful objective measures, image enhancement algorithms tend to be simple, qualitative and ad hoc.
Thus an image can often be enhanced when one or more of the following objectives are accomplished: modification of the contrast or dynamic range; edge enhancement; reduction of additive, multiplicative and salt and pepper noise; reduction of blurring. This thesis presents and discusses a few of these techniques by which the geometric detail in an image may be modified and enhanced. The specific techniques covered are applied to the image data directly and can be called image domain techniques. Lastly, using the discussed techniques, an algorithm to count the number of particles in a given image is developed.
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