Study on the Method of Feature Extraction of Vegetable Diseases Based on Image Processing

2014 ◽  
Vol 1044-1045 ◽  
pp. 1366-1369 ◽  
Author(s):  
Zhan Wu Peng ◽  
Xue Wang

Using computer image processing technology, greenhouse vegetable diseases were recognized intelligently, and taking the cucumber mildew as an example, the method of image pre-processing and feature extraction for intelligently recognizing greenhouse vegetable diseases was studied. White was chosen as the background of diseased leaf, median filter was utilized to effectively wipe out the disturbance of noise, and two-apex method was applied to separate the disease images from the background. Geometrical features of the disease spots were accurately extracted by performing image edge detection. The results suggest that the method can pre-process images and precisely extract the features of the diseases.

2015 ◽  
Vol 713-715 ◽  
pp. 1804-1807
Author(s):  
Chun Hua Qian ◽  
He Qun Qiang ◽  
Sheng Rong Gong

Automatic orange quality classification based on computer image processing is accurate and efficient. In this paper, we discuss the orange feature extraction and description method based on image processing. Design an orange image edge detection method based on Canny operator, color characteristics description methods based on HIS model and shape characteristics description methods based on Fourier descriptor operator. The experiment result proof that Canny operator is high SNR,high accuracy and low computation;HIS model is more accord with human vision and low computation also; shape characteristics description methods based on Fourier descriptor operator is more easy to shape classification.


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