عملية تغيير حجم الصورة في مجال معالجة الصور باستخدام التحويلات الهندسية بدون تغيير دقة الصورة تعرف ب image scaling او image resizing. عملية تغيير حجم الصورة لها تطبيقات واسعة في مجال الحاسوب والهاتف النقال والاجهزة الالكترونية الاخرى. يقترح هذا البحث طريقة لتغيير حجم الصورة باستخدام المعادلات الخاصة بمنحني Bezier وكيفية الحصول على افضل نتائج. تم استخدام Bezier curve في اعمال سابقة في مجالات مختلفة ولكن في هذا البحث تم استخدام معادلات ال Bezier curve في تغيير حجم الصور. فكرة استخدام معدلات Bezier curve في تغيير حجم الصور تاتي من خاصية توليد النقاط التي تقع على المنحني والتي تعمل على سحب احداثيات النقاط الموجودة في الصورة بالاعتماد على شكل المنحني وبالتالي تغيير حجم الصورة. تتميز هذه الخوارزمية بسرعة الاداء في تغيير حجم الصور لذلك فهي مفيدة في مجال معالجة الصور والتطبيقات الواقعية التي تحتاج الى تغيير حجم الصور بسرعة هائلة. تم اختبار دقة الخوارزمية باستخدام مقاييس MSE و SNR و PSNR حيث تم تطبيق المقاييس على الصور الاصلية و الصور المسترجعة من عملية تغيير حجم الصورة وكانت النتائج مقبولة كطريقة مقترحة وسريعة لتغيير حجم الصور. وتم استنتاج ان الخوارزمية تعطي افضل النتائج في تصغير او تكبير الصور عندما تكون عدد النقاط المستخدمة في توليد المنحني زوجية اما اذا كانت عدد النقاط فردية فسوف يكون هنالك ضياع في جزء من الصورة الذي يعتمد على معامل التغيير.
LK Abood, RA Ali, M Maliki, International Journal of Science and Research, 2015 - Cited by 2
Skull image separation is one of the initial procedures used to detect brain abnormalities. In an MRI image of the brain, this process involves distinguishing the tissue that makes up the brain from the tissue that does not make up the brain. Even for experienced radiologists, separating the brain from the skull is a difficult task, and the accuracy of the results can vary quite a little from one individual to the next. Therefore, skull stripping in brain magnetic resonance volume has become increasingly popular due to the requirement for a dependable, accurate, and thorough method for processing brain datasets. Furthermore, skull stripping must be performed accurately for neuroimaging diagnostic systems since neither no
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... Show MoreIn this paper, the goal of proposed method is to protect data against different types of attacks by unauthorized parties. The basic idea of proposed method is generating a private key from a specific features of digital color image such as color (Red, Green and Blue); the generating process of private key from colors of digital color image performed via the computing process of color frequencies for blue color of an image then computing the maximum frequency of blue color, multiplying it by its number and adding process will performed to produce a generated key. After that the private key is generated, must be converting it into the binary representation form. The generated key is extracted from blue color of keyed image then we selects a c
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Fumonisin B1 (FB1) is a mycotoxin produced in some grains (mainly corn) by Fusarium species. Due to a structural similarity between FB1 and sphinganine, sphingolipids metabolism is inhibited. Such inhibition plays a critical role in cell to cell singling and structure of lipoprotein; therefore FB1 has been suggested to have a relationship with human and animal cancer. This research is planned to study the effect of FB1 on male mice at two doses (20 and 30 µg/ ml) on the expression of TGF-β1 and p16 in liver cells. Three groups of Swiss albino male mice; each group was orally administrated with FB1 toxin as the following: normal saline (control group); 20 and 30 µg/ ml. All groups were sacrificed after two weeks of oral manage
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The study investigates the water quality of the Orontes River, which is considered one of the important water recourses in Syria, as it is used for drinking, irrigation, swimming and industrial needs. A database of 660 measurements for 13 parameters concentrations used, were taken from 11 monitoring points distributed along the Orontes River for a period of five years from 2015-2019, and to study the correlation between parameters and their impact on water quality, statistical analysis was applied using (SPSS) program. Cluster analysis was applied in order to classify the pollution areas along the river, and two groups were given: (low pollution - high pollution), where the areas were classified according to the sources of pollution to w
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