Local feature-based identification and classification for orchard insects期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Local feature-based identification and classification for orchard insects

Authors:	Chenglu Wen Daniel E. Guyer Wei Li

Affiliation:	^aCollege of Engineering, China Agricultural University, Beijing 100083, China;^bDepartment of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA

Abstract:

Keywords:	Abbreviations: ABIS, Automated Bee Identification System DAISY, Digital Automated Identification System GLOH, Gradient Location-Orientation Histogram HSB, Hue Saturation Brightness IPM, Integrated Pest Management KNNC, K Nearest Neighbour Classifier MLSLC, Minimum Least Square Linear Classifier MSER, Maximally Stable Extremal Regions NMC, Nearest Mean Classifier PCA-SIFT, Principal Component Analysis- Scale Invariant Feature Transform PCALC, Principal Component Analysis expansion Linear Classifier PCBR, Principal Curvature-Based Region PDLC, Parzen Density based Linear Classifier RGB, Red Green Blue SIFT, Scale Invariant Feature Transform SPIDA, Species Identified Automatically SUSAN, Smallest Univalue Segment Assimilating Nucleus SVM, Support Vector Machine
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