Image Algebra and Restoration

The arrival of image algebras has made it possible to express a vast amount of the heterogeneous material in the image processing literature in a convenient and consistent manner. Furthermore, this type of formulation has proved very fertile and many new ideas have emerged. Image restoration has, however, been studied very much less than enhancement and analysis. We explain briefly the use of one such algebra in this field and show that such tasks as reconstruction from focal series and three-dimensional reconstruction can easily be incorporated

Synthesis of 2 dimensional image filters by cellular automata

The filtering action of some type of cellular automata has been known about since the mid I960’s. These cellular filters, based on a combination of reducing and augmenting kernels operating on a series of thresholded images, are derived empirically and have fixed characteristics. This thesis presents a method for synthesising 2 dimensional grey level image filters using cellular automata. This method takes as its starting point the characteristic equation of a filter expressed in the Laplace domain, and derives from this equation the kernel of the cellular filter which has the same characteristics as the filter defined by the Laplacian equation. The advantage of using' cellular automata for image filtering is that they are highly parallel in nature, and as such, are a natural algorithm for image filtering on a parallel computational engine

The investigation of the characterisation of flotation froths and design of a machine vision system for monitoring the operation of a flotation cell ore concentration

Electrical and Electronic EngineeringThis dissertation investigates the application of digital image processing techniques in the development of a machine vision system that is capable of characterising the froth structures prevalent on the surface of industrial flotation cells. At present, there is no instrument available that has the ability to measure the size and shape of the bubbles that constitute the surface froth. For this reason, research into a vision based system for surface froth characterisation has been undertaken. Being able to measure bubble size and shape would have far reaching consequences, not only in enhancing the understanding of the flotation process but also in the control and optimization of flotation cells

An Automated rule based visual printed circuit board inspection system which uses mathematical morphological image processing algorithms

Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Science of Bilkent Univ. , 1990.Thesis (Master's) -- Bilkent University, 1990.Includes bibliographical references leaves 122-125.In this thesis, the design and implementation of an automated rule based visual printed circuit board (PCB) inspection system are presented. The developed system makes use of mathematical morphology based image processing algorithms. This system is designed for the detection of the PCB defects related to the conducting structures on the PCBs. For this purpose, four new algorithms, three of which are defect detection algorithms, are designed, and an already existing algorithm is modified for its implementation in our system. The designed defect detection algorithms respectively verify the minimum conductor trace width, minimum land width, and the minimum conductor trace spacing requirements on digital binary PCB images. The implementation of a prototype system is made in our image processing laboratory and the necessary computer programs are developed. These programs control the image processor and apply the defect detection algorithms to discrete binary PCB test images.Oğuz, Seyfullah HalitM.S