Plant leaf image local self-adaption tree structure feature matching method

The invention relates to a plant leaf image local self-adaption tree structure feature matching method. A DOG feature point matching substrate is constructed, feature line structures are extracted between matched feature points and unmatched feature points of the substrate, and spatial distribution...

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Bibliographische Detailangaben
Hauptverfasser: CHEN LEI, SUN XIONGWEI, ZENG XINHUA, WU NA, YUAN YUAN, WAN LI, LI MIAO, BIAN CHENGFEI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a plant leaf image local self-adaption tree structure feature matching method. A DOG feature point matching substrate is constructed, feature line structures are extracted between matched feature points and unmatched feature points of the substrate, and spatial distribution limitation between local feature descriptor information and the feature points can be combined in a self-adaption mode through the feature line structures to form a dynamic reference relational tree. The problem that the good matching result can be difficult to obtain under the conditions of zooming, rotation combination, local high-repetition modes and the like under high noise points when plant leaves are irregularly deformed is effectively solved, the high-robustness plant leaf image feature matching method is achieved, and the adaptability and the accuracy meet the actual application requirement. Meanwhile, the plant leaf image local self-adaption tree structure feature matching method can be easily combined wi