Comparison of Artificial Immune System and Particle Swarm Optimization Techniques for Error Optimization of Machine Vision Based Tool Movements

Mahapatra, Prasant Kumar; Sethi, Spardha; Kumar, Amod

doi:10.1007/s40032-015-0181-1

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Later expanded to other graphics. For line segments in binary maps, Hough linear transformation has high detection accuracy and good robustness [19]. In this paper, the basic principle of Hough linear transformation is mainly used to detect and extract the linear edge of the wafer sample in the optical microscope field of view, so as to obtain the accurate position of the wafer sample edge [20].…”

Section: Afm Probe Tip Visual Positioning Technologymentioning

confidence: 99%

Positioning Technology of Tiny Electronic Components Based on Microscope and Computer Vision

2020

IJMC

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In recent years, with the rapid development of tiny electronic components. At present, commonly used optical inspection technology and electron microscope inspection technology find it difficult to meet the dimensional inspection requirements of key components of highly integrated integrated circuits. Based on computer micro-vision technology, the coupling of measuring platform displacement to the development of miniature electronic components is of great significance for the analysis and design of precision platforms. This paper analyzes the influence of the three factors of material, software and environment on the accuracy positioning of the measurement system. The analysis shows that the characteristics of the imaging system itself and the image noise it brings are the main factors that affect the measurement accuracy. In this paper, a technique for blindly detecting the position of the scanner based on computer vision is proposed. This article uses a CCD optical camera to capture the orbital motion of the electronic pen, and uses video image processing algorithms, computer vision and position to capture the position of the light on the screen. With the support of specific software, this article creates a new interactive whiteboard system. Any large screen can be turned into a large touch screen with electronic writing surface and touch function. The device does not require a specific additional screen to operate, and the cost is lower. In this paper, the stereo microscope has a narrow field of view, small depth of field and many non-linear factors. Based on the analysis of existing camera models, a binocular microscope imaging model based on a linear camera is established. On this basis, through the experimental analysis of the feasibility of the existing camera calibration method in the binocular microsystem, the calibration method of the camera's main parameters is proposed. Experiments show that the resolution value of the peak value of the evaluation curve in this paper is 18 times the focus resolution value, while the commonly used algorithm for evaluating the peak value of the curve is only 14 times. Compared with the latter, the discrimination of the edge gradient Laplacian used in this paper is more obvious than the former.

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Section: Afm Probe Tip Visual Positioning Technologymentioning

confidence: 99%

Positioning Technology of Tiny Electronic Components Based on Microscope and Computer Vision

2020

IJMC

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“…Immune optimization algorithm (IA), a vital research and promising direction of Artificial Immune System (AIS), is a novel population-based intelligent algorithm based on the theoretical immune principles [20] inspired by adaptive immune system. Due to the advantages of simplicity and ease of implementation and the remarkable optimization capability, IA and its variants have attracted the attention of researchers and have been widely exploited to solve a great variety of related engineering optimization problems [19,[21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Optimization on Black Box Function Optimization Problem

Xiao

Liu

et al. 2015

Mathematical Problems in Engineering

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There are a large number of engineering optimization problems in real world, whose input-output relationships are vague and indistinct. Here, they are called black box function optimization problem (BBFOP). Then, inspired by the mechanism of neuroendocrine system regulating immune system, BP neural network modified immune optimization algorithm (NN-MIA) is proposed. NN-MIA consists of two phases: the first phase is training BP neural network with expected precision to confirm input-output relationship and the other phase is immune optimization phase, whose aim is to search global optima. BP neural network fitting without expected fitting precision could be replaced with polynomial fitting or other fitting methods within expected fitting precision. Experimental simulation confirms global optimization capability of MIA and the practical application of BBFOP optimization method.

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Inverse Kinematics for A 3-R Robot Using Artificial Neural Network and Modified Particle Swarm Optimization

Shastri

Parvez

Chauhan

2019

J. Inst. Eng. India Ser. C

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Comparison of Artificial Immune System and Particle Swarm Optimization Techniques for Error Optimization of Machine Vision Based Tool Movements

Cited by 4 publications

References 26 publications

Positioning Technology of Tiny Electronic Components Based on Microscope and Computer Vision

Positioning Technology of Tiny Electronic Components Based on Microscope and Computer Vision

Optimization on Black Box Function Optimization Problem

Inverse Kinematics for A 3-R Robot Using Artificial Neural Network and Modified Particle Swarm Optimization

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