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Selection of an Appropriate Image Fusion Technique for Wireless Multimedia Sensor Networks

اختيار تقنية دمج الصور الأنسب لشبكات الحساسات اللاسلكية الداعمة للوسائط المتعددة

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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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Image Fusion is one of the most important methods used in image processing, especially in networks with limited resources such as networks of wireless sensors supporting multimedia. It is classified into technologies operating in spatial domain and others in the frequency domain. In this research, Fusion techniques in frequency domain are manipulated to benefit from its advantages. Discrete Cosine Tansform is used because it fits the characteristics of this type of networking where it is simple, easy to implement and requires low memory. Three methods based on this transformation, DCTav, DCTma and DCTah, have been investigated and applied to three different sets of images. The evaluation of simulation results, with different parameters, showed that the DCTma was the most appropriate method to integrate the imagery taken from sensory nodes supporting multimedia.


Artificial intelligence review:
Research summary
تناول البحث موضوع دمج الصور في شبكات الحساسات اللاسلكية الداعمة للوسائط المتعددة، حيث تم التركيز على تقنيات الدمج في المجال الترددي باستخدام تحويل التجب المتقطع (DCT). تم دراسة ثلاث طرق معتمدة على هذا التحويل وهي DCTav وDCTah وDCTma، وتم تطبيق هذه الطرق على ثلاث مجموعات مختلفة من الصور. أظهرت نتائج المحاكاة أن الطريقة DCTma هي الأنسب لدمج الصور الملتقطة من عقد حساسة داعمة للوسائط المتعددة. تم تقييم الأداء باستخدام مجموعة من البارامترات مثل الانحراف المعياري والتردد المكاني ونسبة الإشارة إلى الضجيج العظمى وصورة الخطأ، وأظهرت النتائج تفوق طريقة DCTma على الطريقتين الأخريين في معظم الحالات.
Critical review
دراسة نقدية: يعد البحث خطوة مهمة في مجال دمج الصور في شبكات الحساسات اللاسلكية الداعمة للوسائط المتعددة، إلا أنه يمكن الإشارة إلى بعض النقاط التي قد تعزز من قيمة البحث. أولاً، كان من الممكن تضمين مقارنة مع تقنيات دمج أخرى غير معتمدة على تحويل التجب المتقطع لتقديم رؤية أشمل. ثانياً، لم يتم التطرق بشكل كافٍ إلى تأثير العوامل البيئية المختلفة على أداء تقنيات الدمج المدروسة. ثالثاً، كان من الممكن تقديم تحليل أكثر تفصيلاً حول تأثير حجم كتلة البكسلات على الأداء، خاصة في التطبيقات العملية. وأخيراً، كان من الممكن تضمين دراسة حول استهلاك الطاقة لكل طريقة دمج، نظراً لأهمية هذا العامل في شبكات الحساسات اللاسلكية ذات الموارد المحدودة.
Questions related to the research
  1. ما هي التقنية الأنسب لدمج الصور في شبكات الحساسات اللاسلكية الداعمة للوسائط المتعددة وفقاً للبحث؟

    وفقاً للبحث، التقنية الأنسب لدمج الصور في شبكات الحساسات اللاسلكية الداعمة للوسائط المتعددة هي DCTma.

  2. ما هي البارامترات المستخدمة لتقييم أداء تقنيات دمج الصور في البحث؟

    البحث استخدم بارامترات مثل الانحراف المعياري، التردد المكاني، نسبة الإشارة إلى الضجيج العظمى، وصورة الخطأ لتقييم أداء تقنيات دمج الصور.

  3. لماذا تم اختيار تحويل التجب المتقطع (DCT) في هذا البحث؟

    تم اختيار تحويل التجب المتقطع (DCT) لأنه بسيط وسهل التطبيق ويحتاج لمتطلبات ذاكرة منخفضة، مما يجعله ملائماً لشبكات الحساسات اللاسلكية ذات الموارد المحدودة.

  4. ما هي المجموعات الثلاث من الصور التي تم تطبيق تقنيات الدمج عليها في البحث؟

    المجموعات الثلاث هي: صور مخبرية لا صورة مرجعية لها، صور من الوسط الخارجي مع توافر الصورة المرجعية، وصور ملتقطة بواسطة عقدة حساسة داعمة للوسائط المتعددة.


References used
Prabhu T.N., Ranjeeth Kumar C., Mohankumar B., "Energy-efficient and Secured Data Gathering in Wireless Multimedia Sensor Networks", International Journal of Innovative Research in Computer and Communication Engineering.Vol. 2, Issue 2, p.p. 3073-3079, (2014
Dang K., Sun H., Chanet J. P., Garcia-Vidal J., Barcelo-Ordinas J. M., Shi&6 and K.M. Hou H.L., "Wireless Multimedia Sensor Network for plant disease detections". New Information Communication Science and Technology for Sustainable Development International Workshop, p.p.1-6, (2013
Mohini K., Manoj D., "Survey on Energy Efficient Approach for Wireless Multimedia Sensor Network". International Journal of Computer Science and Information Technologies (IJCSIT). Vol. 5 (4), p.p. 5517-5520, (2014
Fuat A., Tommaso M., Kaushik R., "Wireless Multimedia Sensor Networks: Application And Testbeds". Proceedings of the IEEE.Vol.96, No.10, p.p. 1588–1605, (2008
Hans-Joachim H., "Application of Sensor Networks". Springer, p.p.1-20, (2007
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