Question

求把下面的一段话翻译成英文，不要用翻译软件，由于被选为优秀范文，所以翻译要重新弄一个好的，急啊，高分

本文就是为了解决密封圈表面图像在机器视觉下呈现出的光照不均匀、瑕疵对比度低、噪声大等种种不利因素，经过现场实验，利用DSP捕捉到图像，对图像特点进行分析，综合了中值滤波、二值化、图像缩小、哈弗定圆法、区域拓展等一系列图像算法找得到了一个新的密封圈瑕疵识别算法。能够识别密封圈表面的裂缝、模影、暗纹等瑕疵，并且在DSP平台上实现上述算法，从而代替人工肉眼检测。

Answer 1

The sealing ring surface in the machine vision showing of the uneven lighting, low flaw contrast, big noise. In order to solve these problem, we using DSP to capture image, the image characteristics of the analysis, we synthesize the median filter（中值滤波）binaryzation（二值化）, image reduction（图像缩小）, houghtransform（哈弗曼定圆）, region growing （区域生长）and so many algorithms, obtain a new sealing ring defect recognition algorithm. It can identify the seal surface cracks, die shadow, dark lines and other defects. its implementation on DSP already.
有些专业术语不太了解，不知道翻译是否正确

Answer 2

This paper is to solve the surface image sealing ring in machine vision present a light under non-uniform and flaws low contrast, noise big wait for a variety of factors and through field tests, using DSP capture the image on image characteristics are analyzed, the comprehensive the median filtering, binary image, reducing, set, regional development.as the corner, a series of images algorithm find a new sealing ring defect recognition algorithm. Able to identify the sealing ring surface cracks, mould, dark grain etc of flaws, and in the DSP platform to realize the above the algorithm, and replace artificial naked eye detection.

Answer 3

我靠，全是专业术语，怎么翻译，来托福的应该行

Answer 4

对不起我只来拿点分

Answer 5

这个专业度要求太高。。心有余而力不足啊。。。

Answer 6

This paper is to solve the surface image sealing ring in machine vision present a light under non-uniform and flaws low contrast, noise big wait for a variety of factors and through field tests, using DSP capture the image on image characteristics are analyzed, the comprehensive the median filtering, binary image, reducing, set, regional development.as the corner, a series of images algorithm find a new sealing ring defect recognition algorithm. Able to identify the sealing ring surface cracks, mould, dark grain etc of flaws, and in the DSP platform to realize the above the algorithm, and replace artificial naked eye detection
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