M.Sc.

TU-satellite image analysis and quality estimation

 TheimagequalityanalysistechniquesofTV-Satelliteimagescome fromthesignificantprocessingofhighimportanceofimageinformation inthemultimediaworld.Inthisresearch,thequalityofTV-Satellite
imagesonthethreesatellites(Arabsat,HotbirdandNilesat)wasstudied toestimatethebestqualityimage.Anumberofimagequalitymetrics havebeenintroduced.Theintroducedimagequalitymetricsconsistof
twomethods.Thefirstmethodiscalledthecontrastofimageedgesand the secondmethodiscalledthecrosscorrelation.Inthecontrastofimageedgesmethod,theedgeshavebeen

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Breast Cancer Tissues Recognition Using Fractal Dimension, Fuzzy Logic and Neural Network

In this research work, two recognition systems have been developed to recognize different breast tissues (normal or cancer infected). The multifractal dimensions have been used as textural discriminating
feature. The difference between the two established systems is the first is based on using fuzzy logic to make recognition decision,while in the second system the feed forward neural network is used instead

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Data Mining Using Association Rules with Fuzzy Logic

The growth of massive data stores has led to the development of a number of automated processors that work to discover relationships in and between the data in those stores. These processors are often referred to by a number of names including data mining, knowledge discovery, pattern recognition, artificial and machine learning.Data mining is the nontrivial extraction of implicit, previously unknown, and potentially useful information from data.

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