Watershed transform is a classical method of image segmentation in mathematical morphology.

Selecting correct threshold is a critical issue for image segmentation.

阈值分割的难点和关键在于阈值的选取.

Objective To improve the automatization and reliability of medical image segmentation.

目的提高图像分割技术的自动化程度和可靠性.

Image segmentation code code integrity, and can be used directly.

图像分割的代码的源代码的完整性, 并可以直接使用.

It has the partial ability of visual selectivity in the human vision system.

该方法在一定程度上具各了类似于人类视觉系统的选择性加工能力.

Here the vision system of the robot for spraying ceramic glaze is discussed.

介绍了在自动施釉生产线中机器人视觉系统的设计.

In this thesis, the author presents 4 research contents of the night vision system . Separately: 1.

本文包括4个部分,分别介绍了对夜视系统4个方面的研究内容.

The unique vision system enables analysis of samples were impossible to measure before.

独特的视觉监视系统可以分析以前无法测量的样品.

Alight by high-resolution vision system.

高解析视觉定位.

The vision system includes optical design and mechanical design . 2.

其中视觉系统包括光学设计和机械设计.

It will make a strong impact on performance of vision system.

分割结果的好坏,对视觉系统的性能影响较大.

The machine vision occupied a important Position in the inspection and monitoring of manufacturing system.

机器视觉在制造系统检测与监视领域占有重要的地位.

The machine vision hardware system is built for identifying exterior quality and fertility of hatching egg.

建立了基于机器视觉的种蛋筛选和孵化成活性检测硬件系统.

So this technology is widely utilized in machine vision, digital camera and target recognition.

因此该技术正广泛地应用于机器视觉 、 数码相机、目标识别等领域.

Ltd. is special in the state-of-the-art technology for developing intelligent machine vision system andprocession system.

是一家专业的机器视觉研究、开发、系统解决方案提供的高科技企业.

So how does a design engineer know when machine vision is right for their system?

那么,设计工程师如何才能知道机器视觉适合他们的系统?

The extract of leading line is the emphasis of machine vision servo system.

引导线提取是机器视觉伺服系统的重点.

Research Area robot control, machine vision.

器人控制, 机器视觉研究.

Machine Vision is an inference from 2 D visual array to 3 D scene.

机器视觉研究试图实现从2D图像到3D场景的推断.

As it were, where there is human vision, there is almost needs machine vision.

可以说, 需要人类视觉的场合几乎都需要机器视觉.

A lane detection and rebuilding method based on machine vision is proposed.

本文提出了一种基于机器视觉的车道检测与重建方法.