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Article
Video Frames Edge Detection of Red Blood Cells: A Performance Evaluation
إطارات الفيديو كشف حافة خلايا الدم الحمراء: تقييم الأداء

Author: Karrar Neamah Hussein كرار نعمه حسين
Journal: Journal of Al-Qadisiyah for Computer Science and Mathematics مجلة القادسية لعلوم الحاسوب والرياضيات ISSN: 20740204 / 25213504 Year: 2018 Volume: 10 Issue: 1 Pages: 16-27 Comp
Publisher: Al-Qadisiyah University جامعة القادسية

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Abstract

The boundary structure (shape and size) and numbers of Red Blood Cells (RBCs) play a significant role in controlling human physiology. Several blood related diseases including sickle hemoglobin, polycythemia, thalassemia, anemia, and leukemia that occur due to the alteration of RBCs structures need precise detection, analysis, and subsequent inhibition. Diverse boundary analyses that have already been developed to detect the frames edge of blood samples remained ineffective. Thus, an automated system needs to be designed for exact detection of the RBCs edges. The edges being the main features of image often provide vital information to separate regions within an object or to detect changes in illumination. Accordingly, edge detection is regarded as an important step in the analysis of images and extraction of valuable information. In this paper, we evaluated the performance of video frames edge detectors and compared it with different gradient based techniques including Robert, Sobel, Prewitt and Canny, Zero-crossing (Laplacian, Gaussian and fuzzy logic) by applying them on video of RBCs. Two criteria such as mean square error (MSE) and peak signal to noise ratio (PSNR)were exploited to achieve good quality of video frames edge detectors for RBCs. Canny edge and fuzzy logic based techniques revealed the optimum performance towards the detection of video frames edge of RBCs.

يلعب هيكل الحدود (الشكل والحجم) وأعداد خلايا الدم الحمراء (كرات الدم الحمراء) دورا هاما في السيطرة على فسيولوجيا الإنسان. العديد من الأمراض المرتبطة بالدم بما في ذلك الهيموغلوبين المنجلي، كثرة الحمر، الثلاسيميا، وفقر الدم، وسرطان الدم التي تحدث بسبب تغير هياكل كرات الدم الحمراء تحتاج الى الكشف الدقيق والتحليل الاحق. تحليلات حدود متنوعة التي تم تطويرها بالفعل للكشف عن حافة إطارات عينات الدم ظلت غير فعالة. وبالتالي، يجب تصميم نظام آلي للكشف الدقيق عن حواف كرات الدم الحمراء. الحواف كونها السمات الرئيسية للصورة غالبا ما توفر معلومات حيوية لفصل المناطق داخل كائن أو للكشف عن التغيرات في الإضاءة. وبالتالي، يعتبر الكشف عن الحافة خطوة هامة في تحليل الصور واستخراج المعلومات القيمة. في هذا البحث ، قمنا بتقييم أداء إطارات الفيديو كاشفات الحافة ومقارنتها مع تقنيات التدرج مقرها مختلفة بما في ذلك روبرت، سوبيل، بريويت و كاني، صفر عبر (لابلاسيان، غاوسية والمنطق غامض) من خلال تطبيقها على الفيديو من كرات الدم الحمراء. وقد استغل معياران من قبل متوسط الخطأ المائل (MSE) ونسبة الإشارة إلى الضوضاء (PSNR) لتحقيق نوعية جيدة من أطر الفيديو للكشف عن الحافة لكرات الدم الحمراء. حافة وتقنيات منطقية غامض كشفت الأداء الأمثل نحو الكشف عن إطارات الفيديو حافة كرات الدم الحمراء.


Article
Proposed Video Watermarking Algorithm based on Edge or Corner Regions

Authors: Nidaa F. Hassan --- Rusul N. Abbas
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 1 Part (B) Scientific Pages: 25-32
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

In this research, a watermark algorithm is proposed to embed a secretmessage in a digital video. The proposed algorithm exploits edges and cornersregions in images, to be hosts for hiding secret bits. Embedding in these regionsis consider optimal since these regions featuring with colors variation, soembedding will not effect on uniform distribution of colors, and on transparencyrequirement. The process of embedding and extracting watermarked massage isimplemented by decomposition digital video to several images (frames), thenselecting the edges and corners regions to be host locations, Least SignificantBit (LSB) techniques are used to embed watermarked message in images ofdigital video. Investigations results proved that number of hidden bits in cornerregion is small in comparison with edges regions, but it is harder to detect. Textmessage before embedded in video frames is encrypted by Advanced EncryptionAlgorithm (AES) to increase security and robustness of watermarking process.


Article
Automatic Iraqi Cars Number Plates Extraction

Authors: Safaa S. Omran --- Jumana A. Jarallah
Journal: Iraqi Journal for Computers and Informatics ijci المجلة العراقية للحاسبات والمعلوماتية ISSN: 2313190X 25204912 Year: 2018 Volume: 44 Issue: 1 Pages: 34-41
Publisher: University Of Informatics Technology And Communications جامعة تكنولوجيا المعلومات و الاتصالات

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Abstract

License Plate Recognition (LPR) system becomes an important research issue in recent years due to its importance to wide ranges of commercial applications. The first and the most important stage for any LPR system is the localization of the number plate within the vehicle image. This paper presents a methodology for Iraqi cars number plates extraction from the vehicle image using two methods, the first one is morphological operations and the second method is edge detection. The main idea is to use these two different methods in such away so that the number plate of the vehicle can be extracted precisely. These algorithms can quickly and correctly detect and extract the number plate from the vehicle image although there was a little noise in the image. This paper also makes a comparison between the two methods of extraction in results. The software that used to build the systems is MATLAB R2014a.


Article
Smart Vision System forthe Blind People using Image Segmentation and Edge Detection

Author: Zainab N.Nemer
Journal: Journal of Education for Pure Science مجلة التربية للعلوم الصرفة ISSN: 20736592 Year: 2018 Volume: 8 Issue: 3 Pages: 23-31
Publisher: Thi-Qar University جامعة ذي قار

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Abstract

The proposed system OTSS (Object and Textconversion to Sound System) is designed to describeobjects, answer questions, read texts and offer guidance about blind people environment. Thesystemhelps the visually impaired people to shopping; reading and navigating within any new environmentby recognize the environment objects and tell the blind people what their environment has.Theefficiency use of image segmentation makes the algorithm more compatible. The conversion of objectsand a text to speech synthesizer will be of great help to blind people

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