Grain Quality Discrimination Pixel Weight Calculation
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Solution Overview
Problem
Conventional grain appearance quality grade discrimination devices inaccurately calculate the weight ratio by quality grade due to treating grains of varying sizes within the same quality grade as a single entity, using a uniform weight conversion coefficient.
Innovation Solution
The method involves imaging grains, discriminating their quality grades, tallying the number of pixels for each grade, and multiplying by a weight conversion coefficient per pixel to accurately convert pixel counts into weights, thereby calculating the weight ratio by quality grade.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a uniform weight conversion coefficient is used for all grains in the same quality grade, then the calculation process is simple and fast, but the weight ratio calculation accuracy deteriorates due to grain size variations
Solution Approach 1:
The patent applies local quality by assigning different weight conversion coefficients to different grains based on their individual pixel areas. Instead of using a uniform coefficient for all grains in a quality grade, the system calculates a specific coefficient for each grain proportional to its pixel area, thereby accounting for size variations within the same quality grade and improving weight ratio accuracy.
2Measurement precision
If grains are sorted and weighed individually to calculate weight ratios, then the calculation accuracy is high, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent replaces the mechanical sorting and weighing system with an optical imaging and digital calculation system. By capturing images of multiple grains simultaneously and using pixel area measurements combined with quality grade discrimination, the system achieves accurate weight ratio calculations without the need for physical sorting and individual weighing, thus saving time while maintaining accuracy.
3Productivity
If multiple grains are imaged and evaluated simultaneously, then the evaluation efficiency is high, but the accuracy deteriorates due to treating grains of varying sizes as a single entity
Solution Approach 1:
The patent applies segmentation by dividing the evaluation process into individual grain analysis units. Each grain in the image is processed separately to determine its pixel area and quality grade, and then individual weight conversion coefficients are calculated for each grain. This allows simultaneous evaluation of multiple grains while maintaining the accuracy of individual size measurements.
Data Source
AI summary
A method is provided for calculating a weight ratio by quality grade using a grain appearance quality grade discrimination device. The method involves the steps of imaging a plurality of grains; discriminating the quality grade of the grains on the basis of data of the imaged grains; tallying, by quality grade, the number of pixels in said data of the imaged grains with regards to the grains whose quality grade has been discriminated; multiplying the number of pixels tallied by quality grade by a weight conversion coefficient per pixel predetermined by quality grade, and thereby converting said number of pixels into a weight by quality grade; and calculating the weight ratio by quality grade of the grains on the basis of the weight by quality grade.