Produce Shape Quantification via Image Processing
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Solution Overview
Problem
Current methods for categorizing fruit shapes, such as those described in the Descriptors for Avocado, are not quantifiable and lack a linear scale, making it difficult to use mathematical or machine-based identification systems effectively.
Innovation Solution
An image processing method that captures and processes images of produce using photo editing software to quantify shape by measuring area, height, and width of quadrants and the central shape, allowing for automated data extraction and outputting quantified values, which can be used in digital sorting systems and geographical information systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional descriptive methods (e.g., Descriptors for Avocado) are used to categorize fruit shapes, then comprehensive shape classification is achieved, but the methods are not quantifiable and cannot be easily identified by mathematical or machine methods
Solution Approach 1:
The image processing method divides the produce image into multiple quadrants and measures specific parameters (area, height, width) for each quadrant and the central produce shape. This segmentation approach transforms complex shape description into quantifiable measurements that can be processed by mathematical and machine systems, directly resolving the contradiction between comprehensive classification and machine-identifiable quantification.
2Productivity
If manual descriptive categorization is used for produce shapes, then detailed shape classification is achieved, but automation and productivity are reduced
Solution Approach 1:
The patent replaces manual visual inspection and descriptive categorization with an automated image processing system that captures images, processes them through software algorithms, and outputs quantified shape values. This substitution of mechanical/manual processes with automated optical and computational systems dramatically increases productivity while maintaining measurement precision through systematic parameter extraction.
3Measurement precision
If simple image capture is used without processing, then device complexity is minimized, but shape quantification and automated sorting capability are not achieved
Solution Approach 1:
The patent introduces photo editing software as an intermediary component between simple image capture and shape quantification. This software intermediary automatically performs noise removal, thresholding, cropping, and parameter measurement, transforming raw images into quantified shape data. The intermediary handles the complexity of image processing while providing accurate measurements, resolving the contradiction between measurement precision and device complexity.
Data Source
AI summary
The disclosure provides for an image processing method for quantifying produce shape. The disclosure further provides for the use of the image processing method for various applications, including digital produce sorting systems, and geographical information systems.