Determination of Leaf Type by Image Processing Techniques

There have been many studies in various fields such as engineering, medicine, military applications, geographical applications, space studies with image processing methods. In this study, by applying image processing techniques of digitized leaf images, leaf type was determined according to morphological characteristics. The average of each leaf area is taken in itself. Mean area-based leaf type detection was developed in the C# application environment. In the study, 90 leaf types were determined and a total of 795 leaf images were studied. After the application, 85% recognition was done in 25 leaf types. Recognition of 100% in 65 leaf types was performed. The other findings obtained are presented in the conclusions.