Mahmoud Hassaballah

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Fractal image compression gives some desirable properties like resolution independence, fast decoding, and very competitive rate-distortion curves. But still suffers from a (sometimes very) high encoding time, depending on the approach being used. This paper presents a method to reduce the encoding time of this technique by reducing the size of the domain(More)
Eyes are the most salient and stable features in the human face, and hence automatic extraction or detection of eyes is often considered as the most important step in many applications, such as face identification and recognition. This paper presents a method for eye detection of still grayscale images. The method is based on two facts: eye regions exhibit(More)
Face detection is a fundamental research area in computer vision field. Most of the face-related applications such as face recognition and face tracking assume that the face region is perfectly detected. To adopt a certain face detection algorithm in these applications, evaluation of its performance is needed. Unfortunately, it is difficult to evaluate the(More)
In this paper we present a new algorithm for detection the edge in biomedical images depends on least square approximation method which considered one of the types of the numerical methods. Biomedical image processing has been undergoing rapid changes driven by better hardware and software. Much of the software is based on new methods. It is useful to base(More)
Detection of facial features such as eye, nose, and mouth is an important step for many subsequent facial image analysis tasks such as face recognition. In this paper, we introduce a method to detect eye and nose fields from gray scale facial images. The Independent Components Analysis (ICA) is utilized to learn the appearance and shape of the facial(More)