Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting
Abstract
Keywords: image processing, green apple, natural scene, machine vision, object detection, saliency theory, Gaussian curve fitting
DOI: 10.25165/j.ijabe.20181101.2899
Citation: Li B R, Long Y, Song H B. Detection of green apples in natural scenes based on saliency theory and Gaussian curve fitting. Int J Agric & Biol Eng, 2018; 11(1): 192–198.
Keywords
Full Text:
PDFReferences
Wang Y D, Zhang X Z. Segmentation algorithm of muskmelon fruit with complex background. Transactions of the CSAE, 2014; 30(2): 176–181. (in Chinese)
Ji W, Meng X L, Tao Y, Xu B, Zhao D A. Fast segmentation of colour apple image under all-weather natural conditions for vision recognition of picking robots. International Journal of Advanced Robotic Systems, 2016; 13(1): 24–32.
Luo L F, Zou X J, Xiong J T, Zhang Y, Peng H X, Lin G H. Automatic positioning for picking point of grape picking robot in natural environment. Transactions of the CSAE, 2015; 31(2): 14–21. (in Chinese)
Chen Y L, Park S-K, Ma Y D, Ala R. A new automatic parameter setting method of a simplified PCNN for image segmentation. IEEE Transactions on Neural Networks, 2011; 22(6): 880–892.
Jia W K, Zhao D A, Liu X Y, Tang S P, Ruan C Z, Ji W. Apple recognition based on k-means and GA-RBF-LMS neural network applicated in harvesting robot. Transactions of the CSAE, 2015; 31(18): 175–183. (in Chinese)
Xu L M, Lv J D. Bayberry image segmentation based on homomorphic filtering and k-means clustering algorithm. Transactions of the CSAE, 2015; 31(14): 202–208. (in Chinese)
Peng H X, Zou X J, Chen Y, Yang L, Xiong J T, Chen Y. Fruit image segmentation based on evolutionary algorithm. Transactions of the CSAE, 2014; 30(18): 294–301. (in Chinese)
Cheng M M, Mitra N J, Huang X L, Torr P H S, Hu S M. Salient object detection and segmentation. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2013; 37(3): 1.
Rutishauser U, Walther D, Koch C, Perona P. Is bottom-up attention useful for object recognition? IEEE Computer Society Conference on Computer Vision & Pattern Recognition, 2004; 2: II-37- II-44.
Itti L. Automatic foveation for video compression using a neurobiological model of visual attention. IEEE Transactions on Image Processing: A Publication of the IEEE Signal Processing Society, 2004; 13: 1304-1318.
Chen T, Cheng M M, Tan P, Shamir A, Hu S M. Sketch2Photo: internet image montage. Acm Transactions on Graphics, 2009; 28: 89–97.
Liu T, Sun J, Zheng N N, Tang X, Shum H Y. Learning to detect a salient object. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2011; 33: 353–367.
Harel J, Koch C, Perona P. Graph-based visual saliency. Advances in Neural Information Processing Systems, 2006; 19: 545–552.
Sun J, Lu H, Li S. Saliency detection based on integration of boundary and soft-segmentation. 19th IEEE International Conference on Image Processing (ICIP), 2012; pp.1085–1088.
Lu Y, Zhang W, Lu H, Xue X. Salient object detection using concavity context. IEEE International Conference on Computer Vision, 2011; pp.233–240.
Cheng M, Mitra N J, Huang X, Torr P H S, Hu S. Global contrast based salient region detection. IEEE Conference on Computer Vision and Pattern Recognition, 2011; pp.409–416.
Xie Y L, Lu H C, Yang M-H. Bayesian saliency via low and mid level cues. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2013; 22(5): 1689–1698.
Yang C, Zhang L, Lu H, Xiang R, Yang M H. Saliency detection via graph-based manifold ranking. IEEE Conference on Computer Vision and Pattern Recognition, 2013; pp.3166-3173.
Arora P, Deepali Dr, Varshney S. Analysis of k-means and k-medoids algorithm for big data. Procedia Computer Science, 2016; 78: 507–512.
Khalid N E A, Noor N M, Ariff N M. Fuzzy c-means (FCM) for optic cup and disc segmentation with morphological operation. Procedia Computer Science, 2014; 42: 255–262.
Biswas S, Ghoshal D, Hazra R. A new algorithm of image segmentation using curve fitting based higher order polynomial smoothing. Optik-International Journal for Light and Electron Optics, 2016; 127(20): 8916–8925.
Copyright (c)