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العنوان
Image Processing Using Cellular Automata And Soft Computing =
المؤلف
Abd El Rehim , Heba Allah Ibrahim.
هيئة الاعداد
مشرف / محمود محمد حسن جبر
مشرف / ياسر فؤاد حسن
مشرف / محمد عبد الرحمن
باحث / هبة الله ابراهيم عبد الرحيم
الموضوع
Image. Processing. Using. Cellular. Automata. Soft Computing.
تاريخ النشر
2012.
عدد الصفحات
67 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الرياضيات
تاريخ الإجازة
1/1/2012
مكان الإجازة
جامعة الاسكندريه - كلية العلوم - mathematics
الفهرس
Only 14 pages are availabe for public view

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Abstract

1.1 Digital Image Processing
An image may be defined as a two-dimensional function J(i, D. where i and}
are spatial (plane) coordinates, and the amplitude of J at any pair of coordinates
(i, j) is called intensity or gray level of the image at that point. When i, } and the
amplitude values are all finite, discrete quantities, then the image is called a
digital image. The field digital image processing refers to processing digital
images by means of a digital computer. Note that a digital image is composed of
a finite number of elements, each of which has a particular location and value.
Theses elements are referred to as picture elements, image elements and pixels.
Pixel is the term most widely used to denote the elements of digital image [3].
Digital image processing allows the use of much more complex algorithms for
image processing, and hence, can offer both more sophisticated performance at
simple tasks, and the implementation of methods which would be impossible by
analog means. In particular, digital image processing is the only practical
technology for:
• Classification
• Feature extraction
• Pattern recognition
• Projection
• Multi-scale signal analysis
1.2 Image Denoising
Image noise is the random vanation of brightness or color information
in images produced by the sensor and circuitry of a scanner or digital camera.
White noise is one of the most common problems in image processing. Even a
high resolution photo is bound to have some noise in it. For a high-resolution
photo a simple box blur may be sufficient, because even a tiny features like
eyelashes or cloth texture will be represented by a large group of pixels.
Unfortunately, this is not the case with video where real-time noise reduction is
still a subject of many researches [4].
Image Denoising is one of the existing problems in research area. The need for
efficient image restoration methods has grown with the massive production of
digital images and movies of all kinds, often taken in poor conditions. No matter.