A computer-based image analysis for tear ferning featuring

The present work focuses on the development of a novel computer-based approach for tear ferning (TF) featuring. The original TF images of the recently developed five-point grading scale have been used to assign a grade for any TF image automatically. A vector characteristic (VC) representing each grade was built using the reference images. A weighted combination between features selected from textures analysis using gray level co-occurrence matrix (GLCM), power spectrum (PS) analysis and linear specificity of the image were used to build the VC of each grade.

Announcement for Course DEN 493

Dear Student, 
Please feel free to contact me regarding your case presentation before your presentation at least    one week before not after.  

Best Wishes
WA

برنامج دعم أبحاث طلبة البكالوريوس

يسر عمادة البحث العلمي إعلان إطلاق برنامجها الجديد

"برنامج دعم أبحاث طلبة البكالوريوس"

للتفاصيل والاشتراك بالبرنامج عبر الرابط

Journal Club: Software and Knowledge Engineering Research Group

Dear Students,
We have the following Journal club topic to be discussed in the second hour of Tuesday SKERG events.

Event Type: Journal Club
Moderator: Weaam Alrashed
Paper Title: Design & Implementation of Smart House Control Using LabVIEW
Proposed by: Ghada Al-Hudhud
Location: S17 Building 6
Day/ date: Tuesday 11th November 2014

Looking forward to see you all there.

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اشترك ب KSU Faculty آر.إس.إس