Circular Features Description: Effective Method for Leaf Image Retrieval and Classification
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National Nature Science Foundation of China (61372158); Natural Science Foundation of Jiangsu Province of China (BK20181414); Program for Outstanding Science and Technology Innovation Team of Jiangsu Higher Education Institutions (2017-15); Major Project of Natural Science Foundation of Jiangsu Higher Education Institutions of China (18KJA520004)

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    Abstract:

    Leaf image recognition is a significant application of computer vision. Its key issue is how to effectively describe the leaf images. A method, called circular features description, is proposed. In this method, a circular centered at the contour is put on the image plane and the central angle, the spatial distribution of the region points, and the gray statistics characteristics are derived from its intersection to the leaf contour and region for describing the contour, region and gray features of the leaf image. By varying the size of the circle, a coarse to fine descriptor is yielded and a local multiscale arrangement is developed in which the range of the radius of the circles and the values of various scales taking for each contour point are determined by the distance of the remaining contour points to it. The proposed method naturally integrates the contour, region, and grayscale information of the leaf image and is also invariant to the similarity transform of the leaf image. It is conducted on the public test datasets and the experimental results show its higher accuracies over the state-of-the-art methods.

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王斌,黄竹芹,陈良宵.圆周特征描述:有效的叶片图像分类和检索方法.软件学报,2019,30(4):1148-1163

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History
  • Received:July 19,2017
  • Revised:August 13,2017
  • Adopted:
  • Online: January 23,2019
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