Abstract

Identification of Shadowed Areas to Improve Ragweed Leaf Segmentation

Highlights

  • Common ragweed (Ambrosia artemisiifolia L) is one of the most troublesome weeds in Hungary as well as throughout Europe, even though this invasive species can only be found since the First World War

  • As the last step of the proposed process, let one modify the binary image of Fig. 5a which was created by circular hue based thresholding, with marking the shadowed areas of Fig. 10b as part of the background

  • The method presented is well applicable for segmentation of images, where the leaf and background chromaticity and illumination properties dominate histograms

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Summary

INTRODUCTION

Common ragweed (Ambrosia artemisiifolia L) is one of the most troublesome weeds in Hungary as well as throughout Europe, even though this invasive species can only be found since the First World War. As a result, during image analysis, these properties will appear to be properties of the leaf This is partially correct, because the shadows are cast by the leaf with all its unique properties. This serves as one of the source properties of the classification. This would be fully correct if the same illumination circumstances were guaranteed during all independent experiments Since this is mostly not possible, handling shadows as object properties results in false object classification. Should another leaf sample series be given, where shadowed areas appear elsewhere as a result of another illumination, their unique properties would significantly differ and the classification error would occur immediately. Influence of illumination should be decreased as far as possible

RELATED WORKS
Shadow Detection
RESULTS
CONCLUSION
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