237 / 2016-01-24 17:51:20
AUTOMOTIVE SYSTEM FOR VEGETABLE CLASSIFICATION
9225,5658,9226,9227,5604,9228
摘要待审
Anupama Pattanashetty / PDACE KALABURGI
Suvarna Nandyal / PDACE KALABURGI
Efficient locating and detecting vegetables on the tree is one of the major requirements for the vegetables harvesting system .This work presents the vegetable detection using improved multiple feature based algorithm vegetable recognition is difficult because vegetables are deferrable objects that exhibit significant variations. The input images are the sections of the tree image. The algorithm is designed with the aim of calculating different weights of different features. These features represent the approximate location of the vegetable within an image. The proposed approach can be applied for targeting vegetables for robotic vegetable harvesting .The recognition is done by the SVM classifier based upon the statistical features derived from both color and texture features. The experimental results show, that the proposed system is significantly more accurate in identifying vegetables from the tree than the existing methods.
重要日期
  • 会议日期

    03月23日

    2016

    03月25日

    2016

  • 11月30日 2015

    提前注册日期

  • 12月30日 2015

    初稿截稿日期

  • 01月30日 2016

    初稿录用通知日期

  • 02月05日 2016

    终稿截稿日期

  • 03月25日 2016

    注册截止日期

主办单位
IEEE Madras Section
SSN College of Engineering - SSN Trust
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