Matrix form of automatic alignment algorithm in 2D space

Kim, H.T.; Song, Chang Hyun; Yang, Hae-Jeong

doi:10.1109/icmech.2004.1364483

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…In order to overcome it, Perona and Malik [22] introduced a nonlinear anisotropic diffusion process governed by the distribution function g(∇u) into the heat conduction model in order to make diffusion happening in a maximal speed along the edge direction (which is orthogonal with the gradient direction) and make diffusion stops along the gradient direction. Then the mathematical model given by equation 5may be modified as below: (6) Where ∇ is the gradient operator, ∇u denotes the magnitude of the gradient, g(∇u) is the diffusivity function or the "edge-stopping" function, div is the divergence operator, and u 0 is the original image.…”

Section: Anisotropic Diffusionmentioning

confidence: 99%

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Detection of Paddle Vats in Wafer Images

Pan

Liu

Wang

2012

Journal of Algorithms & Computational Technology

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Wafer dicing is a basic step in building electronic devices such as CPU or GPU. It is automatically accomplished in the wafer Dicing Machine in which a little misalignment of wafers may lead to damaged chips. The information of misalignment may be obtained by detecting the paddle vat to calculate the misalignment between the blade and the part of the wafer which has been diced in real-time. In this paper, methods for detecting the paddle vat are studied. For most of simple wafer images where the intensities of paddle vats are quite different from that of the background, a binary segmentation approach is used to detect the paddle vat of the wafer image. The threshold for binarization is calculated by the grey-scale histogram of the wafer image which is smoothed by using exponentially smoothed method. For wafer images with complex backgrounds, the improved Canny detection algorithm with anisotropic diffusion is used to detect the edges of paddle vats. Experimental results show the validity of the methods.

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Section: Anisotropic Diffusionmentioning

confidence: 99%

“…For example, H.T.Kim, C.S.Song, etc. proposed a 2-step algorithm [3] and a matrix-based algorithm [4][5] [6] for automatic alignment. In 2008, they proposed a simple and fast technique for detecting wafer cutting lines using the affine transformation before sawing.…”

Section: Introductionmentioning

confidence: 99%

Detection of Paddle Vats in Wafer Images

Pan

Liu

Wang

2012

Journal of Algorithms & Computational Technology

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show abstract

“…With the Dx, Dy and Dh determined, the automatic motion control mechanism can make rotational and translational movements along the three axes (X, Y1 and Y2) to achieve fast, efficient and accurate alignment. A general model for automatic alignment in 2D space is developed by Kim et al [5] under the assumption of precise positioning with visual inspection. The proposed formula had a simple matrix form with motions described by modified rigid body transformation and was applied to a semi-automatic dicing machine.…”

Section: Introductionmentioning

confidence: 99%