作者: Erdem Emin Maraş , Bülent Bayram , Hakan Hadi Maraş , Süleyman Sırrı Maraş , Bahadır Aktuğ
DOI: 10.5897/IJPS.9000387
关键词:
摘要: The close-range photogrammetry is a discipline of precise metric measurement features with applications ranging from the deformation architectural structures to medical diagnosis. One limitations on precision obtained images large differences in depth. On other hand, obtaining pictures that focus every direction lenses used close range mechanically impossible. Multiple focused different distances are necessary order solve such depth problem. clear parts brought together, so image obtained. This joint becomes more suitable for feature extraction as well dividing and classifying processes. In this study, joining has been conducted spatial frequency method. unclear have be determined able bring these together. average filtering method employed accurately determine prescribed clarity level gray value levels image. For procedure, software developed C++ programming language conducts filtering. experiments show proves very efficient construct multi-focus Due arising depth, many ultra-high measurements industrial still heavily rely classical surveying methods. results proposed image-fusion dramatically reduces error budget down half enables much higher applications. Key words: Image processing, method, fusion.