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Greenhouse vegetable disease surveillance video key frame extracting method and extracting system

A technology for monitoring video and vegetable diseases, applied in image data processing, instruments, computing and other directions, can solve the problems of greenhouse vegetable quality decline, affecting quality and economic benefits, loss and other problems

Active Publication Date: 2014-09-03
CHINA AGRI UNIV +1
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Problems solved by technology

[0002] Diseases are an important factor restricting the sustainable development of greenhouse vegetable production in my country. Crop disease causes the quality of greenhouse vegetables to decline, affects their quality and economic benefits, and causes incalculable losses.

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  • Greenhouse vegetable disease surveillance video key frame extracting method and extracting system
  • Greenhouse vegetable disease surveillance video key frame extracting method and extracting system
  • Greenhouse vegetable disease surveillance video key frame extracting method and extracting system

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Embodiment Construction

[0048] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but should not be used to limit the scope of the present invention.

[0049] The present invention proposes a key frame extraction method and extraction system for greenhouse vegetable disease monitoring video. The method of the present invention combines visual salience and clustering algorithms, and its flow is as follows figure 1 Shown:

[0050] Step 1: Parse the surveillance video into a sequence of frames, and enhance each frame;

[0051] Step 2: Camera Motion Status Recognition

[0052] Camera motion state recognition uses the method of inter-frame difference measurement. The inter-frame difference measurement is to calculate the similarity between two frame images. Histogram information is a statistical feature of the image, which can ignore the influence of the chang...

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Abstract

The invention discloses a greenhouse vegetable disease surveillance video key frame extracting method and extracting system. According to the extracting method and the extracting system, the visual significance is combined with an online clustering algorithm. Firstly, an X2 histogram method is utilized to measure interframe difference and remove the effects of video frame images with the similar characteristics on the algorithm calculation amount; then the video frame images are transferred to an HSV color space, a visual significance diagram is calculated through characteristics of greenhouse vegetable surveillance video, an H channel and an S channel to extract the significance areas in the video frame images, and scab information, possible to be lost, in the significance areas is repaired through a morphological method; finally, key frames can be extracted through the online clustering algorithm and a pixel frame average algorithm. The extracting method can effectively obtain disease information in greenhouse vegetable surveillance video to establish solid foundation for accurate identification on greenhouse vegetable diseases. If combined with image processing techniques and mode identifying techniques, the extracting method and the extracting system can make great contributions to greenhouse vegetable disease identification.

Description

technical field [0001] The invention relates to the technical field of video analysis and image processing, and more particularly relates to a key frame extraction method and an extraction system of a greenhouse vegetable disease monitoring video. Background technique [0002] Disease is an important factor that restricts the sustainable development of greenhouse vegetable production in my country. Crop disease causes the quality of greenhouse vegetables to decline, affects their quality and economic benefits, and causes incalculable losses. Therefore, effective disease control is the fundamental guarantee to ensure the safety of vegetable production and improve the yield and quality of vegetables. The key to disease control is to be able to accurately identify diseases. [0003] With the development of video surveillance technology, more and more facility agriculture sites have been equipped with video surveillance cameras to help farmers grasp the status of facility agricu...

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Application Information

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IPC IPC(8): G06T7/00G06T7/20
Inventor 傅泽田马浚诚张领先李鑫星温皓杰陈英义李道亮
Owner CHINA AGRI UNIV
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