Image Processing-Based Method and System for Monitoring and Analyzing Seedling Growth Status

By using the USM algorithm that adaptively adjusts the sharpening intensity, based on the grayscale and texture features of seedling images, it suppresses the enhancement of interference areas, solves the problem of inaccurate monitoring caused by the complex seedling image acquisition environment, and achieves more efficient monitoring of growth status.

CN121458580BActive Publication Date: 2026-05-26SHAANXI JITAI CITY NEW AGRI CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHAANXI JITAI CITY NEW AGRI CO LTD
Filing Date
2025-10-14
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In existing technologies, the complex environment in which seedling images are acquired leads to blurred image edges and loss of details, affecting the accuracy of seedling growth status monitoring. The inability to adjust the sharpening intensity of traditional USM unsharpened masks results in enhanced interference areas or insufficient details.

Method used

By acquiring the pixel grayscale difference features of the seedling status image, the suspected interference level and target pixels are determined. The interference confidence is calculated using local gradient, grayscale, and texture features. The sharpening intensity is adjusted to adaptively enhance the image, and the USM algorithm is applied for image enhancement.

Benefits of technology

It improved the accuracy of seedling growth status monitoring, suppressed the enhancement of interference areas, ensured clear visibility of leaf characteristics, and enhanced the accuracy of growth status judgment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121458580B_ABST
    Figure CN121458580B_ABST
Patent Text Reader

Abstract

This invention relates to the field of image processing technology, specifically to a method and system for monitoring and analyzing the growth status of seedlings based on image processing. The method involves obtaining target pixels based on the grayscale difference characteristics of pixels in a seedling status image; obtaining a first interference confidence level based on the local gradient difference characteristics, local grayscale difference characteristics, and distribution characteristics of the target pixel and other local target pixels; obtaining a second interference confidence level based on the grayscale difference characteristics, interval characteristics, and quantity characteristics of the target pixel and other local target pixels, as well as the local texture distribution characteristics of the target pixel; and adjusting a preset maximum sharpening intensity based on the final confidence level and the suspected interference level to obtain an adaptive sharpening intensity for the target pixel. This invention enhances the image using adaptive sharpening intensity and the Unseen Mean Square (USM) algorithm, and then monitors the seedling growth status based on the enhanced image, thus improving the accuracy of status monitoring.
Need to check novelty before this filing date? Find Prior Art