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Course Information
Course Unit Title : Methods of Image Analysis
Course Unit Code : 01MAD9628
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) : ---
Course Assistants :
Learning Outcomes of The Course Unit : 1. Understanding of aims of image analysis methods
2. Understanding of importance of image analysis methods
3. Understanding of basics of image analysis methods
4. Studying of compa-photo method
5. Studying of Split-Desktop software
6. Understanding of Comparison of fragmentation and success of the two methods
7. Understanding of errors on image analysis methods
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Aims of image analysis methods, Importance of image analysis methods, Basics of image analysis methods
Compa-photo method, Computer aided image analysis methods, Split-Desktop software, basics and outputs of it,
Comparison of fragmentation and success of the two methods,Errors on image analysis methods
Languages of Instruction : Turkish
Course Goals : 1. Studying of aims of image analysis methods
2. Studying of basics of image analysis methods
3. Studying of compa-photo method
4. Studying of Split-Desktop software
5. Comparison of fragmentation and success of the two methods
6. Errors on image analysis methods
Course Aims : Studying of aims of image analysis methods, basics of image analysis methods, compa-photo method and Split-Desktop method, comparison of the two methods and errors on image analysis methods
WorkPlacement  
Recommended or Required Reading
Textbook : Özkahraman, H.T., 2009. Patlatma Teknolojisi. Tuğra Ofset, 174s. Isparta.
Additional Resources : Cevizci H., Akçakoca H., 2011, ?Yığın Parça Boyut Dağılımının Belirlenmesinde Bazı Görüntü Analiz Yöntem Sonuçlarının Karşılaştırılması?, SDÜ-Fen Bilimleri Enstitüsü Dergisi, sayı 15-3, s.256- 264, Isparta.
Aswegen, H.V. ve Cunningham, C.V.B., 1986. The Estimation of Fragmentation in Blast Muckpiles by Means of Standard Photographs. J.S.AF.IMM, 86(12)., 469-474.
Özkahraman H.T., 2000. Patlatılmış Yığının Parça Boyut Dağılımının Belirlenmesinde Kullanılan Sayısal Standart Fotoğraf Yönteminin Güvenilirliliği. V. Ulusal Kaya Mekaniği Sempozyumu Bildiriler Kitabı, 30-31 Ekim 2000, SDÜ Müh. Fakültesi, Maden Müh. Bölümü, Isparta.
Özkahraman, H.T., Çiftçi, H., 2002. Sayısal Fotoğraf Yöntemiyle Göltaş Çimento Fabrikası Taş Ocağı Patlatmalarının Değerlendirilmesi Ve İyileştirilmesi. Madencilik, 41(2), 3-10.
Ozkahraman H.T., 2006. Fragmentation assessment and design of blast pattern at Goltas limestone Quarry. Turkey. International Journal of Rock Mechanics and Mining Sciences 43 (2006) 628-633.
Material Sharing
Documents :
Assignments :
Exams :
Additional Material :
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
3 15 45  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 30 30  
Workload Hour (30) :
30  
Total Work Charge / Hour :
179  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 50
Quiz :
1 25
Homework :
1 25
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Image analysis methods
 
2 Aims of image analysis methods
 
3 According to main principle, image analysis methods
 
4 Classical image analysis methods
 
5 Compa photo method
 
6 Compa photo method
 
7 Image analysis methods with computer aided methods
 
8 Split-Desktop software
 
9 Split-Desktop software
 
10 Evaluation for instance
 
11 Comparison of obtained muckpile fragmentation at two methods
 
12 Conclusion
 
13 Error on image analysis methods
 
14 Generally Evaluation
 
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