Shape determination of horticultural produce using two-dimensional computer vision

Article ID	Journal	Published Year	Pages	File Type
10278018	Journal of Food Engineering	2012	17 Pages	PDF

Abstract

âº We contribute arguments supporting the interest of determining fruit shape. âº We give a comprehensive view of 2D shape description algorithms. âº Accuracy and throughput of shape analysis techniques is summarized.

Keywords

NIR FFT PLSDA k-NN EFD DWT Three-dimensional ANN MIZ Elliptic Fourier descriptor DFT PCA Machine vision Computer vision Fast Fourier transform Discrete Fourier transform Discrete wavelet transform Partial least squares discriminant analysis Linear discriminant analysis Principal component analysis LDA Fourier descriptor Grading two-dimensional Artificial Neural Network Shape SVM Support vector machine Fruit Near-infrared morphological features one-dimensional