Unsupervised defect detection of flexible printed circuit board gold surfaces based on wavelet packet frame

Wang, Qingxiang; Li, Di; Zhang, Wu-jie; Cao, Dong; Chen, Hao

doi:10.1109/indusis.2010.5565716

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Especially as the IC manufacturing process enters the 7-14 nm process, the FICS's line width and line distance also enter the process below 10 μm, this is also increasing the requirements for material properties and manufacturing processes. At present, the visual defect detection methods for Printed circuit board (PCB) or Flexible printed circuit board (FPC) [1,2] are mainly as follows: reference method [3], nonreference method [4,5] and hybrid method. These methods are difficult to meet the increasing detection speed and accuracy requirements of micro-nano-scale IC package inspection.…”

Section: Introductionmentioning

confidence: 99%

An novel image de-noising model based on gradient and adaptive curvature features and its application

Huang¹,

Hu²

2019

Phys. Scr.

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In this paper, an image de-noising model with gradient and adaptive curvature features is proposed for the visual inspection of the appearance defects of high-density flexible integrated circuit package substrates with strict line-width and line distance. Firstly, the model proposed in this paper adaptively adjusts the weight of the level set curvature feature and the gradient feature of the image, and uses more abundant first-order differential and second-order differential information of the image as the detection factor for image de-noising. Secondly, theoretical analysis shows that the diffusion intensity of the model in the flat region is larger than that of the classical model, and the de-noising effect is better. Furthermore, at the corners and peaks of the image, the proposed model can suppress the reduction of the gray value and preserve more detailed information of the image and edges. Finally, the experimental analysis shows that the proposed model has the best de-noising effect compared with other models. The method proposed in this paper can effectively remove the noise of the image of the high-density flexible integrated circuit package substrate, and at the same time retain more original details and edge information of the image which has practical significance.

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Section: Introductionmentioning

confidence: 99%

An novel image de-noising model based on gradient and adaptive curvature features and its application

Huang¹,

Hu²

2019

Phys. Scr.

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“…Currently, many visual defect detection methods for the IC substrates of printed circuit boards (PCBs) and flexible printed circuits (FPCs) have been studied [4][5][6]. These defect vision detection methods can mainly be divided into reference methods [7], nonreference methods [8,9] and mixed methods. These algorithms require standard templates for matching, pre-defined design rules, or the segmentation of images [10,11].…”

Section: Introductionmentioning

confidence: 99%

A fast oxidation region detection algorithm based on differential geometry approach for high-density flexible integrated circuit packaging substrates

Zhong

2018

Meas. Sci. Technol.

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Vision inspection has been widely used in the field of defect measurement as a noncontact, nondestructive measurement technique. Conventional visual defect detection methods rely heavily on standard templates and image features, but the standard templates are either difficult to obtain or do not exist in many application fields, especially in flexible integrated circuit (IC) substrate defect detection at a microscopic level. To solve the above problems, a rapid online oxidation defect detection algorithm for micron-level flexible IC substrate oxidation defects, based on the differential geometric approach, is proposed in this paper. First, the sample fitting model is established by using minimal generalized variance as well as the surface fitting model. Second, the defect area of the substrate is determined by analyzing the similarity and membership, which is coded among the pixels by considering the spatial topological structure of the image. Finally, experiments are performed to show that the algorithm proposed in this paper not only has high precision, but also meets industrial real-time requirements for the rapid production of a flexible substrate. Since the method does not depend on the standard template of the original image, it can achieve vision detection effects at high speed and with high precision.

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“…ทั ้ งยั งขาดมาตรฐานในการทํ างาน จึ งต องมี การฝ กทั กษะและสอนวิ ธี การใช เครื ่ องมื อวั ดให แก พนั กงาน (Huang & Pan, 2015) ในช วงปลายคริ สต ทศวรรษ 1980 จึ งได มี การนํ าระบบอั ตโนมั ติ มาใช ในการตรวจสอบคุ ณภาพและได เข า มามี บทบาทมากขึ ้ นเรื ่ อย ๆ ในป จจุ บั น (Molleda et al, 2013) การตรวจสอบและควบคุ มคุ ณภาพโดยระบบการประมวลผลภาพ การตรวจสอบและควบคุ มคุ ณภาพโดยระบบการประมวลผลภาพเป นเทคนิ คหนึ ่ งที ่ นิ ยมใช สามารถนํ าไป ประยุ กต ใช ได ในทุ กอุ ตสาหกรรมเพื ่ อช วยลดเวลาในการทํ างาน และเพิ ่ มประสิ ทธิ ภาพ รวมทั ้ งสร างความน าเชื ่ อถื อ ในการตรวจสอบ (Huang & Pan, 2015) ทั ้ งในอุ ตสาหกรรมที ่ ต องการความแม นยํ าในการตรวจสอบสู ง สํ าหรั บ ชิ ้ นส วนขนาดเล็ กอย างอุ ตสาหกรรมอิ เล็ กทรอนิ กส มี การประยุ กต ใช เทคนิ คการตรวจสอบด วยภาพเพื ่ อตรวจสอบ จุ ดบกพร องในการผลิ ตชิ ้ นส วนอิ เล็ กทรอนิ กส ได แก เซมิ คอนดั กเตอร (Huang & Pan, 2015) และแผ นวงจรพิ มพ แบบ ยื ดหยุ  น (Wang et al, 2010) ในสภาวะการทํ…”

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Automated part inspection by image processing system in vehicle part manufacturing

Pannawan¹,

Sudsawat²

2017

j.appsci

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In automotive part manufacturing, part's qualities are main important that manufacturers have to concern during production process. The purpose of this research was to develope the automated quality inspection by applying the gray image processing system to investigate the quality of plastic injection parts in vehicle part industry in dimension measurement section which were complicated and had various geometries and to replace an operator's inspection. The results showed that automated inspection could reduce time and enhance precision of inspection process. Therefore this automated part inspection by image processing system was able to increase work's efficiency and reliability to enhance customer's satisfaction.

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Unsupervised defect detection of flexible printed circuit board gold surfaces based on wavelet packet frame

Cited by 6 publications

References 12 publications

An novel image de-noising model based on gradient and adaptive curvature features and its application

An novel image de-noising model based on gradient and adaptive curvature features and its application

A fast oxidation region detection algorithm based on differential geometry approach for high-density flexible integrated circuit packaging substrates

Automated part inspection by image processing system in vehicle part manufacturing

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