Camera Image NDVI Processing for Soil-Separated Plant Activity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing technologies fail to precisely calculate vegetation index values, such as NDVI, in vegetation portions of farms where both vegetation and soil lines coexist, due to the inclusion of soil portion lines in the image analysis, leading to inaccurate plant activity assessments.
Innovation Solution
An image processing device and method that includes a vegetation index value set image correcting section, which calculates average pixel values, generates a binarized image based on a specified threshold, and multiplies these values to separate vegetation and soil portions, thereby generating a corrected image with high-precision vegetation index values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If NDVI calculation is performed on images containing both vegetation and soil portions, then the processing covers the entire farm area, but the vegetation index values become inaccurate due to soil interference
Solution Approach 1:
The image is divided into vegetation portions and soil portions based on NDVI threshold values. By segmenting the image, the patent isolates vegetation areas from soil areas, enabling accurate vegetation index calculation only for vegetation portions without soil interference
Solution Approach 2:
The patent extracts only the vegetation portion data from the mixed vegetation-soil image by comparing NDVI values against threshold ranges. This extraction process removes soil portion interference, allowing precise vegetation activity assessment
2Measurement precision
If the entire image including soil portions is used for NDVI calculation, then all farm areas are processed, but plant activity assessment becomes inaccurate
Solution Approach 1:
Instead of processing the entire image uniformly, the patent applies partial action by calculating vegetation indices only for pixels falling within vegetation threshold ranges. This avoids unnecessary processing of soil portions while maintaining comprehensive vegetation monitoring
3Loss of information
If vegetation portion lines and soil portion lines are both included in the image analysis, then the complete farm structure is captured, but the vegetation index calculation includes unwanted soil data
Solution Approach 1:
The patent applies different quality criteria to different regions of the image. By setting specific NDVI threshold ranges for vegetation portions, it ensures that only pixels with vegetation-like characteristics contribute to the vegetation index calculation, while soil pixels are automatically excluded based on their different spectral properties
Data Source
AI summary
Provided are a device and a method of generating and outputting a corrected image including high-precision vegetation index values such as NDVI values in a vegetation portion region on the basis of an image in which a vegetation portion and a soil portion coexist. The device includes a vegetation index value set image correcting section that generates a corrected image of a vegetation index value set image in which a vegetation index value such as an NDVI value is set as a pixel value. The vegetation index value set image correcting section calculates, for each of pixels constituting the vegetation index value set image, an average pixel value of the pixel and neighboring pixels, generates an averaged image in which the calculated average pixel values are set, generates a binarized image by binarizing a difference image between the vegetation index value set image and the averaged image in accordance with a specified threshold, and generates, as the corrected image of the vegetation index value set image, a multiplication image by multiplying the vegetation index value set image and the binarized image.