In this paper, two image compression systems are designed based on quadtree (QT). They can compre... more In this paper, two image compression systems are designed based on quadtree (QT). They can compress the colour images for the three components separately. The proposed systems divides colour images into their three components. Then, the first two components (R and G) are divided into blocks using QT method. While the division of the B component has the same blocks coordinates of the G component. The first system has three minimum values (MVs) and three difference values (DVs) for each block. In the second system for R component, one MV and one DV are identified for every block. While for the other two components, two MVs and one average difference (AD) are determined for any block. As a result, it is found that the division according to the G component is the best giving good compressed images with high compression ratios and visual quality. In addition to, the second system is the best one having the highest performance. This system has the highest accuracy rates in the compression...
Automatic recognition of vehicle plate characters became a very important in our daily life becau... more Automatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is built on the university gate for taking images of incoming or outgoing vehicles. A rear image of a vehicle is captured and processed. The system applies an intelligent filtering of the input image based on a set of filters removing unnecessary image elements preserving the position and shape of characters of the vehicle plate, histogram manipulation and edge detection techniques for plate localization and characters segmentation. Adaptive Neuro Fuzzy Inference System (ANFIS) is chosen as a classifier for recognizing the characters in the vehicle plates. This system can extracts the letters and numbers from vehicles plates. So, the extracted vehicle characters can be used to record the incoming vehicles to the university campus and the outgoing. The recognized vehicle characters are saved in the university database.
The Square Scan Algorithm (SSA) was the first algorithm used to transform line features into vect... more The Square Scan Algorithm (SSA) was the first algorithm used to transform line features into vector representations automatically without any help from the user and without any use of other devices for instance, digitizer [1]. This paper presents some important modifications to the SSA algorithm. The main modification is done by drawing continuous squares to detect lines or branches without any lost segments. While the SSA draws each square after a distance called step length. The obtained performance was better and the processing time was reduced to less than the half approximately comparing to the previous SSA algorithm. The proposed algorithm may help with the integration of remotely sensed data and geographic information systems (GIS).
Intelligent Expert Systems for Recognising Unknown Chemical Radicals
This paper aims to design three expert systems for recognising Unknown Chemical Radical (UCR). In... more This paper aims to design three expert systems for recognising Unknown Chemical Radical (UCR). In addition, it determines how to measure an Intelligence Ratio (IR) for each system. The IR depends on Processing Time (PT) that is one of Natural Intelligence (NI) factors. The systems are designed to work in a systematic and efficient way. The third system was the best and the fastest one, as it can extend its Knowledge Base (KB) and have the ability to apply the required experiments without redundancy.
New Searching Rules to Find Variant Names in Arabic
In this paper a new Natural Language Processing (NLP) system that has the ability to extract info... more In this paper a new Natural Language Processing (NLP) system that has the ability to extract information from a database using rules and to search by the popular names. These names can be written as fixed forms or variant forms, for instance the name " راھیم اب " may be written correctly as " راھیم إب " or " راھیم اب " or wrong as " راھیم أب " for one person. The new search method is performed using Z-test, and we find that the new way has superior performance compared to the ordinary search.
The neural networks (NNs) simulation has been designed to simulate and predict the vortex wavelen... more The neural networks (NNs) simulation has been designed to simulate and predict the vortex wavelength ��x, lateral vortex spacing ��y, and normalized maximum vorticity at the vortex center near the wake of square cylinders with different corner radii. The system was trained on the available data of the three cases, although this data is very little. Therefore, we designed the system to work in automatic way for finding the best network that has the ability to have the best test and prediction. The proposed system shows an excellent agreement with that of an experimental data in these cases. The technique has been also designed to simulate the other distributions not presented in the training set and predicted them with effective matching.
This paper presents a novel algorithm having two image processing systems that have the ability t... more This paper presents a novel algorithm having two image processing systems that have the ability to compress the colour image. The proposed systems divides the colour image into RGB components, each component is selected to be divided. The division processes of the component into blocks are based on quad tree method. For each selection, the other two components are divided using the same blocks coordinates of the selected divided component. In the first system, every block has three minimum values and three difference values. While the other system, every block has three minimum values and one average difference. From experiments, it is found that the division according to the G component is the best giving good visual quality of the compressed images with appropriate compression ratios. It is also noticed, the performance of the second system is better than the first one. The obtained compression ratios of the second system are between 1.3379 and 5.0495 at threshold value 0.1, and b...
Automatic line extraction by the square scan algorithm
7th International Conference on Image Processing and its Applications, 1999
ABSTRACT This paper describes a new image processing algorithm for the automatic extraction of li... more ABSTRACT This paper describes a new image processing algorithm for the automatic extraction of line features from raster images with width variation. The features are transferred into vector format. The algorithm has capabilities for extracting crossing and branching lines. In addition it has the ability to connect disconnected lines. The algorithm is implemented and also tested on several image cases
The Square Scan Algorithm (SSA) was the first algorithm used to transform line features into vect... more The Square Scan Algorithm (SSA) was the first algorithm used to transform line features into vector representations automatically without any help from the user and without any use of other devices for instance, digitizer (1). This paper presents some important modifications to the SSA algorithm. The main modification is done by drawing continuous squares to detect lines or branches without any lost segments. While the SSA draws each square after a distance called step length. The obtained performance was better and the processing time was reduced to less than the half approximately comparing to the previous SSA algorithm. The proposed algorithm may help with the integration of remotely sensed data and geographic information systems (GIS).
Anfis and Neural Networks Systems for Multiplicity Distributions in Proton-Proton Interactions
Applied Artificial Intelligence, 2013
ABSTRACT This paper presents two systems. They are an Adaptive Neuro-Fuzzy Inference System (ANFI... more ABSTRACT This paper presents two systems. They are an Adaptive Neuro-Fuzzy Inference System (ANFIS) and a neural networks (NNs) system that have the ability to simulate and predict the proton-proton (P-P) interaction. The P-P based ANFIS and NNs models calculate the multiplicity distribution of charged particles at different high energies. Simulation results of training charged particles using the ANFIS and NNs are tested with training data points showed perfect fitting to the data given by the experimental data. Prediction capability of the ANFIS and NNs are checked with data points not used in training proved also good performance. The results amply demonstrate the feasibility of these techniques in extracting the collision features and prove its effectiveness. It is found that, the ANFIS has got better performance and trained more quickly than the NNs system.
Automatic recognition of vehicle plate characters became a very important in our daily life becau... more Automatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is built on the university gate for taking images of incoming or outgoing vehicles. A rear image of a vehicle is captured and processed. The system applies an intelligent filtering of the input image based on a set of filters removing unnecessary image elements preserving the position and shape of characters of the vehicle plate, histogram manipulation and edge detection techniques for plate localization and characters segmentation. Adaptive Neuro Fuzzy Inference System (ANFIS) is chosen as a classifier for recognizing the characters in the vehicle plates. This system can extracts the letters and numbers from vehicles plates. So, the extracted vehicle characters can be used to record the incoming vehicles to the university campus and the outgoing. The recognized vehicle characters are saved in the university database.
The neural networks (NNs) simulation has been designed to simulate and predict the vortex wavelen... more The neural networks (NNs) simulation has been designed to simulate and predict the vortex wavelength ��x, lateral vortex spacing ��y, and normalized maximum vorticity at the vortex center near the wake of square cylinders with different corner radii. The system was trained on the available data of the three cases, although this data is very little. Therefore, we designed the system to work in automatic way for finding the best network that has the ability to have the best test and prediction. The proposed system shows an excellent agreement with that of an experimental data in these cases. The technique has been also designed to simulate the other distributions not presented in the training set and predicted them with effective matching.
This paper presents a novel algorithm having two image processing systems that have the ability t... more This paper presents a novel algorithm having two image processing systems that have the ability to compress the colour image. The proposed systems divides the colour image into RGB components, each component is selected to be divided. The division processes of the component into blocks are based on quad tree method. For each selection, the other two components are divided using the same blocks coordinates of the selected divided component. In the first system, every block has three minimum values and three difference values. While the other system, every block has three minimum values and one average difference. From experiments, it is found that the division according to the G component is the best giving good visual quality of the compressed images with appropriate compression ratios. It is also noticed, the performance of the second system is better than the first one. The obtained compression ratios of the second system are between 1.3379 and 5.0495 at threshold value 0.1, and b...
Anfis and Neural Networks Systems for Multiplicity Distributions in Proton-Proton Interactions
Applied Artificial Intelligence, 2013
ABSTRACT This paper presents two systems. They are an Adaptive Neuro-Fuzzy Inference System (ANFI... more ABSTRACT This paper presents two systems. They are an Adaptive Neuro-Fuzzy Inference System (ANFIS) and a neural networks (NNs) system that have the ability to simulate and predict the proton-proton (P-P) interaction. The P-P based ANFIS and NNs models calculate the multiplicity distribution of charged particles at different high energies. Simulation results of training charged particles using the ANFIS and NNs are tested with training data points showed perfect fitting to the data given by the experimental data. Prediction capability of the ANFIS and NNs are checked with data points not used in training proved also good performance. The results amply demonstrate the feasibility of these techniques in extracting the collision features and prove its effectiveness. It is found that, the ANFIS has got better performance and trained more quickly than the NNs system.
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Papers by A.A. El-Harby