DocumentCode :
3653009
Title :
Leaf detection application for android operating system
Author :
K. Deepak;A.N. Vinoth
Author_Institution :
DEPT OF CSE, RAJALAKSHMI ENGINEERING COLLEGE, CHENNAII, India
fYear :
2014
fDate :
4/1/2014 12:00:00 AM
Firstpage :
511
Lastpage :
517
Abstract :
The aim in this paper is to utilize the advancement in mobile technologies to foster knowledge on plant species around us. In this paper it is propose to develop an application to identify plant species on android platform. We use contour based edge detection for detecting the edges of the leaf from a plain white background, centroid classification is also done. The obtained feature vector should be irrespective to any scaling, rotation or translation of the contour. Usually these kind of applications in the past used Fourier descriptor to compare object contours and object silhouettes, we instead use Maximally Stable External Regions (MSER) detector and represent the external contour by FD´s. With the great deal of improvements in technological aspects of the mobile phones. These advancements can be used for better understanding of plant species. The basic purpose of Plantopedia is to provide information about common plant species in a user friendly manner. These types of applications will be handy for taxonomists and botanists who study plant species and classify them frequently.
Keywords :
"Lead","Androids","Humanoid robots","Image segmentation","Image edge detection","Manuals"
Publisher :
ieee
Conference_Titel :
Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference on
Type :
conf
DOI :
10.1109/ICCPEIC.2014.6915417
Filename :
6915417
Link To Document :
بازگشت