scholarly journals Computer Image Processing System Based on Feature Extraction Technology

2021 ◽  
Vol 1952 (2) ◽  
pp. 022046
Author(s):  
Xiaojing Luo ◽  
Guangxing Cai
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Computer Image ◽  
Processing System ◽  
Extraction Technology ◽  
Image Processing System ◽  
Computer Image Processing

Computer Image Processing System Networks

1974 ◽  
Author(s):  
Herbert H. Hopf ◽  
Murray Shapiro ◽  
Marvin King
Keyword(s):  
Image Processing ◽  
Computer Image ◽  
Processing System ◽  
Image Processing System ◽  
Computer Image Processing

A computer image processing system for quantification of zebrafish behavior

2004 ◽  
Vol 134 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Satoru Kato ◽  
Takashi Nakagawa ◽  
Masato Ohkawa ◽  
Kenichiro Muramoto ◽  
Osamu Oyama ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Image ◽  
Processing System ◽  
Image Processing System ◽  
Computer Image Processing

Young's fringes analysis with a computer image-processing system

1994 ◽  
Vol 21 (3) ◽  
pp. 151-164 ◽  
Author(s):  
Kenji Machida ◽  
Masanori Kikuchi ◽  
Yoshiaki Sawa ◽  
Fu-Pen Chiang
Keyword(s):  
Image Processing ◽  
Computer Image ◽  
Processing System ◽  
Image Processing System ◽  
Computer Image Processing

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
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Computer Image ◽  
Median Filter ◽  
Diseased Leaf ◽  
Image Edge Detection ◽  
Computer Image Processing ◽  
Geometrical Features ◽  
Greenhouse Vegetable ◽  
Image Edge

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.

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