Real-time on-line system-based field leaf image edge extraction method and system

An image edge and extraction method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of automatic selection difficulty, sticking, and difficulty in obtaining satisfactory segmentation effects.

CN101964108AActive Publication Date: 2011-02-02CHINA AGRI UNIV
3 Cites 15 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2011-02-02

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to a real-time on-line system-based field leaf image edge extraction method and a real-time on-line system-based field leaf image edge extraction system. The method comprises the following steps of: 1, performing gray-level mapping processing on segmentation area sub-images; 2, performing smoothening and noise removing, thresholding, edge detection and preliminary optimization on the images processed by the step 1, and judging whether a target area has a leaf shape; 3, performing smoothening and noise removing, thresholding negation, edge detection and preliminary optimization on the images processed by the step 1, and judging whether the target area has a leaf shape; 4, performing smoothening and noise removing, thresholding, thresholding negation, edge detection, preliminary optimization and area combination on the images processed by the step 1, and judging whether the target area has a leaf shape; and 5, performing further optimization and closed operation onthe images processed by the steps 2, 3 and 4 to obtain edge-closed edge images. Through the method and the system, complete, enclosed and accurately positioned target boundary curve images can be acquired, and the segmentation success rate is high.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of digital image processing, in particular to a real-time online system-based edge extraction method and system for blade field image. Background technique

[0002] Machine vision, also known as computer vision, refers to the technology designed by humans and implemented in a computer environment to simulate or reproduce certain intelligent behaviors related to human vision. The research and application of machine vision technology in agriculture began in the late 1970s. The main research focuses on the use of machine vision in agricultural product sorting machinery to inspect and classify the quality of agricultural products. In recent years, image processing technology based on machine vision has developed rapidly, and image processing technology itself has made major breakthroughs in theory and practice. In addition to agricultural product sorting machinery, this technology has now penetrated into crop gr...

Examples

Embodiment Construction

[0066] The real-time online system-based edge extraction method and system of blade field image proposed by the present invention are described in detail below in conjunction with the accompanying drawings and embodiments.

[0067] The method and its system of the present invention aim at the situation that the gray scale distribution of plant leaf images obtained by the real-time online system is different, and the complete leaves cannot be accurately extracted by simply using graphic image algorithms, and a gray scale mapping method is proposed based on histogram analysis. Combining the improved threshold segmentation and gradient segmentation operators and a large number of morphological operations and logical operations, it can completely, accurately, and high-successfully extract the edge of the leaf of the plant scene image obtained through the real-time online system. The segmentation success rate is also significantly improved. It takes the sub-region containing a sing...