Research Article
Survey of Shape Based Boundary Methods for Leaf Retrieval
@INPROCEEDINGS{10.1007/978-3-642-27299-8_63, author={Komal Asrani and Renu Jain and Deepak Asrani}, title={Survey of Shape Based Boundary Methods for Leaf Retrieval}, proceedings={Advances in Computer Science and Information Technology. Networks and Communications. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part I}, proceedings_a={CCSIT PART I}, year={2012}, month={11}, keywords={Image Retrieval Image Processing Leaf Identification Boundary Based Identification Shape Representation}, doi={10.1007/978-3-642-27299-8_63} }- Komal Asrani
Renu Jain
Deepak Asrani
Year: 2012
Survey of Shape Based Boundary Methods for Leaf Retrieval
CCSIT PART I
Springer
DOI: 10.1007/978-3-642-27299-8_63
Abstract
With explosive growth of plant species, it is becoming difficult for the botanists to manage the details of leaf. Moreover, extracting the specific leaf from the huge collection is a big job. Hence, an effort is done so as to help the botanists identify the specific leaf. The basic approach for leaf identification is based on textual information. But the effort involved in manual annotation is comparatively tedious and moreover it is impossible to represent the vast features of the image in limited keywords. Fundamentally, the identification of a plant is based on leaf. We present a summary of different boundary based methods for image retrieval of leaf. The methods have been explored for maple leaf and advantages and disadvantages have been highlighted.
