Analysis Ball Grid Array defects by using new image technique

Sa-nguannam, A.; Srinonchat, Jakkree

doi:10.1109/icosp.2008.4697247

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…Many histogram-based methods use a calculated global threshold to identify the ROIs in PCB images. Thus, [6] uses the mean and standard deviation of pixel values to compute the threshold. The adaptive threshold is more commonly used.…”

Section: A Existing Solder Joint Localization Methodsmentioning

confidence: 99%

Soldering defect detection in automatic optical inspection

Dai

Mujeeb

Erdt

et al. 2020

Advanced Engineering Informatics

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Section: A Existing Solder Joint Localization Methodsmentioning

confidence: 99%

Soldering defect detection in automatic optical inspection

Dai

Mujeeb

Erdt

et al. 2020

Advanced Engineering Informatics

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“…The method can detect gaps of different sizes inside the solder balls, including gaps obscured by board components and gaps under different brightness conditions. A. Sanguannam et al [12] use X-ray images to detect short circuits, large balls, and small balls. New image processing techniques are proposed to detect the above-mentioned cases and also to detect the null case.…”

Section: Introductionmentioning

confidence: 99%

Improvement of FLIP CHIP detection and localization based on traditional image algorithm

Li¹,

Zhang²,

Liu³

et al. 2023

Preprint

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Surface mount technology (SMT) in integrated circuits, is one of the pillars of electronic information industry. Its degree of development is also one of the core indicators to measure the level of science and technology of a country, which affects process of social information. In recent years, chip technology has improved, and surface mount technology has also achieved remarkable results. But there are still two problems, one is for high-density integrated chips (such as BGA, FLIP CHIP, etc.), the recognition of pass rate is low by the light, chip quality, and other external factors such as more significant impact. The other is traditional template matching algorithm used for positioning, which takes a long time and leads to low production placement speed. In this paper, we take FLIP CHIP as an example and propose a regional screening algorithm to reduce interference, which includes area screening and roundness screening to extract the most valuable part of image information. The regional connected domain method is proposed to obtain the center of gravity set of weld balls and the circle fitting function in OpenCV is used to calculate weld ball radius. The pre-processed image is taken to improve linear fitting method to calculate the chip body size, the average pitch of solder ball, the rotation angle, and the coordinates of the center point of the chip. The remapping search algorithm is used to calculate the number of empty spaces. Then, the rotation angle under the obtained image coordinate system and the center point coordinates of chip are converted to the physical coordinate system at the time of positioning. Then, the offset is output by subtracting from the size of acquired ROI. It is more advantageous than the method of template matching to improve detection speed while ensuring accuracy.

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“…The system converts the multi-colour that has the scale between 0 and 255 to a binary image that has only two values of which 0 represents black, and 255 represents white. These values are divided by the threshold (T) [25]. The conversion process and the result of black and white colour are shown in Eq.…”

Section: ) Convert Grayscale To Binary Imagementioning

confidence: 99%

A Prediction Algorithm for Paddy Leaf Chlorophyll Using Colour Model Incorporate Multiple Linear Regression

Thaiparnit¹,

Ketcham²

2017

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Abstract. This paper proposes the chlorophyll prediction in Pathumthani1 rice based on the image processing technique. The algorithm is developed to analyse the colour in the image by separating the components from rice leaf and computing the average value of red, green, and blue colours (RGB colours). The relationship between the average value and the amount of the chlorophyll is measured by using the chlorophyll meter SPAD-502 with multiple linear regressions. The results showed that the average value of the RGB colours is highly correlated with the amount of the chlorophyll from the rice leaf. To evaluate the accuracy, the chlorophyll prediction has been tested with 60 different rice leaves and the accuracy of the proposed method is 96.12%.

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Analysis Ball Grid Array defects by using new image technique

Cited by 9 publications

References 2 publications

Soldering defect detection in automatic optical inspection

Soldering defect detection in automatic optical inspection

Improvement of FLIP CHIP detection and localization based on traditional image algorithm

A Prediction Algorithm for Paddy Leaf Chlorophyll Using Colour Model Incorporate Multiple Linear Regression

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