Dalya Anwer

Salahaddin University - Erbil | SUH · computer science department

Image processing is widely utilized recently in many applications of civilian lives and for various purposes. Scholars proposed and suggested various techniques of image processing. One of the main processing techniques is the neural network, which is the state of art in field nowadays. This paper aims to reveal the neural networks techniques in im...

In this research one of the flock algorithms was hybridized which is the algorithm of flock of bird’s examples with a traditional modified method that is the conjugate gradient method where it was modified by deriving new conjugate coefficient and each of the thorough approximation and descending qualities were illustrated for this coefficient whic...

Nowadays, image processing is widely utilized in many applications and for various purposes. Scholars proposed and suggested various techniques of image processing. The neural network is one of the main processing techniques, which is a state-of-art method. This paper aims to investigate neural network techniques in the field of image processing. M...

the biggest risk to the privacy of data and personal information of Android users that have mobile fitness and healthcare applications is the unencrypted connection between the application and an internet server. Another risk is the potential security threats, brought about because users often skip the alert message at install time. In this paper,...

In this paper, first anew modified classical conjugate gradient CG method is proposed by deriving a new conjugancy coefficient based on three terms direction, the sufficient descent and the global conjugancy properties are proved. Second: One of the flock algorithms was hybridized which is the particle flock PSO algorithm with a modified conjugate...

Edge detection plays an important role in image processing, pattern recognition and computer vision applications. Most of edge detection schemes are based on finding maximum in the first derivative of the image function or zero crossings in the second derivative of the image function. Various methods of edge detection for color images, including te...

nowadays, compressing large data using different compression methods increase rapidly. This explains the recent importance and popularity of compressing data of multimedia applications as well as wavelet transforms in this field. Wavelet transforms tend to benefit of block-based transforms, including the Discrete Cosine Transform (DCT). DCT is resp...

Edge detection plays an important role in image processing, pattern recognition and computer vision applications. Most of edge detection schemes are based on finding maximum in the first derivative of the image function or zero crossings in the second derivative of the image function. Various methods of edge detection for color images, including te...

This paper introduces an idea for image compression by using Genetic Algorithm and Arithmetic Coding. First stage is by using perceptron neural network to compress each three-pixels into single value, this value is called Compression value. In this paper the neural network did not need weights for training at compression part, the weights used in t...

In this paper, an algorithm is proposed to enhance fingerprint image which includes in one of its steps a smoothing process in which the suggested genetic algorithms by Mitras and Anwar in 2007 which used image smooth filters in both spatial and frequency domain will be employed to know their efficiency in enhancing and regaining the damage sides o...

Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain. The first genetic algorithm uses smoothing filters which are called the median, mean or minimum as an objective function for the genetic algorithm each time. A style has been proposed to enha...