Sadaat, Sayed Mustafa. <br/><br/>
Integrating GIS and Python-Based Image Processing for Automated Pavement CrackSeverity Detection:  A Scalable Approach to Infrastructure Management / 
Sayed Mustafa Sadaat ; Supervisor: Assist. Prof. Dr.Mustafa Alas. 
 - Nicosia :  Near East University,  2025. 
 - xiv, 56 pages :  ill. ;  30 cm. 
<br/><br/>Thesis (Master) 
<br/><br/>Includes bibliographical references. 
<br/><br/><br/>Text in English 
<br/><br/><label>Subjects--Corporate Names: </label><br/>Near East University--Dissertation
<br/><br/><label>Subjects--Topical Terms: </label><br/>Institute of Graduate Studies--Civil Engineering--Near East University<br/>Python-Based Image Processing--Binary Threshold Method<br/>Pavement Crack Detection--Crack Severity Analysis<br/>Infrastructure Management--Automated Detection<br/>Scalable Approach<br/>Road Maintenance--Crack Density<br/>Pavement Condition Assessment--Road Crack Prioritization<br/>GIS and Python Integration
<br/><br/><label>LC Class. No.: </label>TE250