An optic fiber grating diffraction screen is developed by use of optical diffraction. Combining with computer neural network, a vision system for recognizing stereo shape is developed.
利用光学衍射原理，研制成了光纤光栅衍射屏，并与计算机神经网络相结合，开发了一种识别立体形状的视觉系统。
This research demonstrates the potential and procedure of applying computer vision and neural network pattern recognition techniques to food quality control.
本研究展示了在食品质量控制过程中，应用计算机视觉系统和神经网络技术的潜在优势。
The relevant relation is established between egg fresh degree (Haff value) and the egg information parameter with machine vision and neural network technology in this research.
本研究用机器视觉及神经网络技术建立鸡蛋的新鲜度(哈夫值)与鸡蛋光信息参数之间的相关关系，进行鸡蛋新鲜度无损检测与分级。
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