Abstract
Plants are our source of oxygen and nutrients on earth. Therefore, conservation of biodiversity is vital for the survival of other species. With the developing technology, plant species can be examined more closely. Image processing, which is a subject of computer science, has an important role in this field. In this study, an image processing–based method has been developed to automatically separate the petiole region of the plant leaves. To determine the boundary line of the petiole region, the cumulative pixel distributions of the input images in binary format according to the X- and Y-axis are analyzed. Accordingly, optimum thresholds and petiole boundary points are determined. The proposed method was tested on 795 leaf images from 90 different plant species that grow both as trees and shrubs in the Czech Republic. According to the results obtained in experimental studies, it is thought that the proposed method will make an important contribution especially in studies such as automatic classification of plants and leaves and determination of plant species in botanical science.
Highlights
Plants are one of the most important sources of life in our world
This paper provides an original method of automatically separating the petiole region in leaf images of woody plant species
A unique method was developed for automatic segmentation of petiole regions in woody plant leaves
Summary
Plants are one of the most important sources of life in our world. Carrying these resources to the future in a healthy way is necessary for the continuation of vital activities. When a large amount of leaf species is encountered, it is important to increase the sensitivity of the botanical information about the leaf parts (petiole, blade, and base) and to separate them from the image. Recognition and classification of different types of plant leaves individually are not appropriate in terms of time and cost For this purpose, leaf images can be automatically identified and classified in computer environment and will be very easy in terms of time and cost. Lee and Chen[19] have proposed region-based features for leaf image classification Simple features, such as aspect ratio, compactness, and centroid, are used to classify and retrieve the leaf images of 60 plant species. This paper provides an original method of automatically separating the petiole region in leaf images of woody plant species. In the ‘‘Conclusion’’ section, the general evaluation of the proposed algorithm is made and the contributions to the literature are emphasized
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