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grey image
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  灰度图像
    The second method is to apply mathmetical morphology to analyzing directly grey image of sample fracture obtained from scanning electron microscope and to measuring its 2D fractal value.
    第二种方法是应用数学形态学方法直接分析从扫描电镜获得钢样断口表面的灰度图像,并测量其2D分维值。
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    The thermal grey image captured by the dynamic detection system and the principle for detecting the image edge are introduced based on the wavelet transform. The realizing method is investigated based on the wavelet transform to recognize the welding seam on the welding temperature field image.
    叙述了焊接温度场检测系统的焊接温度场灰度图像的获取 ,简述小波变换用于检测边缘的原理 ,论述了小波变换在焊接温度场灰度图像中识别焊缝位置的具体方法。
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  grey image
After optical filtering the modulated carrier is input into a digital image processing system to generate a grey image of 'deformed grating', whose digital differentiation can be used to obtain the curvature patterns or the twist patterns.
      
At the time of that study, the grey image output of a radar unit required the interpretation of a trained specialist.
      
All these algorithms are based on grey image, and color information was not used.
      


he basic fractal method is described here,and two different types of fractal Dimension are applied to analyzing a series of steel fracture surface’s roughness and its corresponding material toughness.The first method is to measure the 1D fractal value of the profile lines on fracture surface under Unix System in computer’s network by taking vertical series of sections from fractures in samples.The second method is to apply mathmetical morphology to analyzing directly grey image of sample fracture obtained...

he basic fractal method is described here,and two different types of fractal Dimension are applied to analyzing a series of steel fracture surface’s roughness and its corresponding material toughness.The first method is to measure the 1D fractal value of the profile lines on fracture surface under Unix System in computer’s network by taking vertical series of sections from fractures in samples.The second method is to apply mathmetical morphology to analyzing directly grey image of sample fracture obtained from scanning electron microscope and to measuring its 2D fractal value.

介绍基本的分维测量方法,并应用两种类型的分维分析一系列钢样的断口表面粗糙度及与之对应的材料韧性。第一种方法对钢样断口取垂直系列剖面,在计算机网络上,Unix系统下测量断口表面轮廓线的1D分维值。第二种方法是应用数学形态学方法直接分析从扫描电镜获得钢样断口表面的灰度图像,并测量其2D分维值。

The thermal grey image captured by the dynamic detection system and the principle for detecting the image edge are introduced based on the wavelet transform. The realizing method is investigated based on the wavelet transform to recognize the welding seam on the welding temperature field image. Results prove that the recognition method is better than the traditional edge detection method in the application of the welding seam. The method has a better denoising performance and can precisely...

The thermal grey image captured by the dynamic detection system and the principle for detecting the image edge are introduced based on the wavelet transform. The realizing method is investigated based on the wavelet transform to recognize the welding seam on the welding temperature field image. Results prove that the recognition method is better than the traditional edge detection method in the application of the welding seam. The method has a better denoising performance and can precisely recognize the welding seam.

叙述了焊接温度场检测系统的焊接温度场灰度图像的获取 ,简述小波变换用于检测边缘的原理 ,论述了小波变换在焊接温度场灰度图像中识别焊缝位置的具体方法。研究结果证明 :该焊缝识别的方法优于传统的检测方法 ,具有更好的去噪性能 ,可以准确地识别焊缝的位置。

In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high...

In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high intensity zones, and weld zones which contain the small defects was extracted. Smoothing and sharpen processing were proceeded on the extracted weld zones, and small defects in X-ray detection image of weldments with complex structure were segmented by using the method of background subtraction in the end. The effects of raster were eliminated, and because of that the image processing was only proceeded on the extracted weld zones, the calculated speed using the above provided algorithm was improved.

In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high intensity zones, and ...

In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high intensity zones, and weld zones which contain the small defects was extracted. Smoothing and sharpen processing were proceeded on the extracted weld zones, and small defects in X-ray detection image of weldments with complex structure were segmented by using the method of background subtraction in the end. The effects of raster were eliminated, and because of that the image processing was only proceeded on the extracted weld zones, the calculated speed using the above provided algorithm was improved.

 
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