关键词: 椭圆傅里叶描述子, 图像处理, 形状识别, 水果, 计算机视觉

Abstract: In this paper， a method based on computer vision and elliptic Fourier descriptor （EFD） was developed to recognize the banana shape. The number of banana with shapes of the curved， slightly curved， end-straight and straight was 107， and the bananas were previously indentified by the experts. Subsequently， the boundary chain codes of the pre-processed images of these bananas were obtained for extracting the elliptic Fourier coefficients. The suitable number of coefficients was determined by comparing the original and reconstructed banana shape， and then the principal component analysis was used to reduce the number of non-negative coefficients. Finally， the classification was achieved by the fuzzy C-means clustering. The results demonstrated that this machine method could be applied for banana shape identification in practice. This study provided a technological means for the value increase of banana and its secondary products， and also might be the basis of realizing the shape recognition of banana hand and bunch in the future.

Key words: elliptic Fourier descriptor, image processing, shape recognition, fruit, computer vision