Fiber Layer Image Retracing for Precise Length Analysis

The patent uses digital image copying to create a virtual representation of the fiber sample. Instead of physically manipulating and measuring fibers, the system captures an image of the beard sample and processes this digital copy to extract fiber length and characteristics, eliminating the need for complex physical measurement tools while maintaining measurement accuracy.

The patent replaces traditional mechanical measurement methods with image processing algorithms. Instead of using physical calipers or microscopes with mechanical scales, the system uses computer vision and image analysis to automatically detect fiber endpoints, calculate lengths, and determine short fiber proportions, thereby improving precision without requiring complex mechanical devices.

The patent implements self-service through automated image processing. The system automatically detects fibers, segments them, calculates lengths, and generates quantitative analysis reports without requiring manual intervention. The algorithm independently processes the image data, identifying fiber characteristics and producing comprehensive analysis results, thereby achieving high quantitative accuracy while maintaining operational simplicity.

The patent transforms the analysis from qualitative visual inspection to quantitative parameter measurement. By converting fiber characteristics into measurable image parameters (pixel coordinates, segment lengths, endpoint positions), the system enables precise quantitative analysis of fiber length distribution, short fiber proportion, and other characteristics that were previously difficult to measure accurately.