DocumentCode :
691972
Title :
The Identification of Powdery Mildew Spores Image Based on the Integration of Intelligent Spore Image Sequence Capture Device
Author :
Wang Danping ; Wang Botao ; Yan Yue
Author_Institution :
Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2013
fDate :
16-18 Oct. 2013
Firstpage :
177
Lastpage :
180
Abstract :
The integration of intelligent spore image sequence capture device is designed for capturing spores and then generates a series of images. Powdery mildew spore is an extremely harmful bacteria spore in agricultural crops. This paper mainly introduced a new method which could realize the automatic detection of the powdery mildew spores. The new method mainly included pre-processing, image segmentation, feature extraction and identification. Pre-processing included illumination compensation, graying, image enhancement. Image segmentation included binary, image smoothing. Finally identification used BP neural network method. Training pictures used 155 pictures and the correct rate was 95.5%. Testing took 89 pictures, and the correct rate was 63.6%. The result proved the validity and correctness of this method.
Keywords :
backpropagation; crops; feature extraction; image colour analysis; image enhancement; image segmentation; image sequences; microorganisms; neural nets; object detection; plant diseases; smoothing methods; BP neural network method; agricultural crops; automatic detection; binary image smoothing; feature extraction; graying; harmful bacteria spore; illumination compensation; image enhancement; image preprocessing; image segmentation; image series; intelligent spore image sequence capture device; powdery mildew spores image identification; Feature extraction; Image enhancement; Image matching; Image segmentation; Image sequences; Lighting; Neural networks; automatic recognition; powdery mildew spores image; the image sequence capture device;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IIH-MSP.2013.53
Filename :
6846609
Link To Document :
بازگشت