A Cucumber Disease Recognition Method Based on Cucumber Leaf Symptom Image Processing
An image processing and disease identification technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as the rise of cucumber diseases
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2016-08-24
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
Technical field
[0001] The invention relates to the technical field of the application of image processing and pattern recognition in cucumber disease recognition, in particular to a cucumber disease recognition method based on image processing of cucumber leaf symptoms. Background technique
[0002] Cucumber is widely distributed in China and even in many parts of the world. It is one of the main vegetables eaten by residents of many countries and has many benefits to the human body. However, cucumber is a kind of susceptible cucumber, and there are more than ten kinds of common cucumber diseases. Accurately judging the types of cucumber diseases is the prerequisite for cucumber disease control. Traditional cucumber disease detection basically relies on the visual estimation of agricultural producers. This detection method has many shortcomings, such as strong subjectivity, slow recognition speed, high recognition intensity, high false recognition rate, poor real-time performan...
Examples
Embodiment Construction
[0049] The present invention will be described in detail below in conjunction with examples.
[0050] A method for identifying cucumber diseases based on image processing of cucumber leaf symptoms, including the following steps:
[0051] The first step is to segment the image of the diseased cucumber leaves: first, use the function'imread' in the Matlab software to convert all the images of the diseased cucumber leaves into a digital image matrix; then, design a 3×3 square structural element and use the closed The operation smoothes the leaf image boundary and fills in the gaps inside the leaf diseased spots, and then connects the separated parts of the leaf diseased spots together; then, the obtained diseased spot area is turned on to eliminate the noise around the diseased spot, and the leaf diseased area is obtained. Finally, the cucumber leaf diseased area image filtered by mathematical morphology is multiplied with the original cucumber leaf color image to obtain the cucumber ...