scholarly journals Defect Contour Detection of Complex Structural Chips

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bin Lin ◽  
Jie Wang ◽  
Xia Yang ◽  
Zhangdong Tang ◽  
Xuan Li ◽  
...  
Keyword(s):  
Image Interpolation ◽  
Contour Detection ◽  
Image Process ◽  
Complex Structures ◽  
Canny Operator ◽  
Edge Information ◽  
Region Segmentation ◽  
Edge Matching ◽  
Satisfactory Performance ◽  
Complex Structural

In the manufacture of chips, it is important to detect defects to assess whether the chip is potentially damageable that could cause unnecessary cost. Most assessment rules are set in light of characteristics determined by defect contours, such as area and range. However, conventional image process methods seldom show a satisfactory performance on chips with complex structures because they are difficult to distinguish defect contours from edges of structures. To solve this issue, this study proposes a method based on region segmentation search. The positions of structures in the image are calculated by edge matching to obtain the number of structure layers in each pixel. Regions whose pixels have the same number are divided into subregions which are coded by the two-pass algorithm. The edges in each subregion are then extracted by the Canny operator to construct edge information of the whole image. Interpolation is used to correct incomplete defect edges according to their endpoints. The remaining interference contours are eliminated on the basis of their shapes. A study of a certain kind of chips is presented. Different illumination situations were simulated to verify the robustness of the proposed method. Most bubbles in the images were detected successfully with their contours coded accurately. Because of this, more than 92% of assessment results of chips were identical to the ones in reality engineering, which proves that the method proposed by this study can efficiently detect the defect contours and improve the ability obviously relative to the current approaches.

Image Identification of a Moving Object Based on an Improved Canny Edge Detection Algorithm

2018 ◽  
Author(s):  
Yang Liu ◽  
Lingyu Sun ◽  
Lijun Li ◽  
Yiben Zhang ◽  
Zongmiao Dai ◽  
...  
Keyword(s):  
Edge Detection ◽  
Moving Objects ◽  
Median Filter ◽  
Critical Role ◽  
Detection Algorithm ◽  
Object Identification ◽  
Moving Object ◽  
Detection Accuracy ◽  
Image Process ◽  
Canny Operator

Edge detection plays an increasingly critical role in image process community, especially for moving object identification problems. For this case, the target object can be captured straightly via the edges beside which there is an obvious jump of grey value or texture. Nowadays, Canny operator has gained great popularity as it shows higher anti-noise performance and presents better detection accuracy in comparison with other edge detection operators like Robert’s, Sobel’s, Prewitt’s etc. However, the Gaussian filter associated with the classic Canny operator is sometimes too simple to decrease the all-type-noise. Additionally, in order to enhance the detection accuracy and lower the pseudo-edges detection ratio, two thresholds, high and low, are chosen artificially which have actually limited the adaptability of the algorithm. In this work, a compound filter, Gaussian-Median filter, is proposed to improve the smoothing effect. The self-adaptive multi-threshold Otsu algorithm is realized to determine the high/low threshold automatically according to the grey value statistic. Image moment method is conducted on basis of the detected moving object edges to locate the centroid and to compute the principal orientation. The experimental results based upon locating the edges of both static and moving objects proved the good robustness and the excellent accuracy of the proposed method.

Image Interpolation Algorithm Based on Edge Features

2011 ◽  
Vol 50-51 ◽  
pp. 564-567
Author(s):  
Yun Feng Yang ◽  
Xiao Guang Wei ◽  
Zhi Xun Su
Keyword(s):  
Interpolation Method ◽  
Spline Interpolation ◽  
Weighted Average ◽  
Image Interpolation ◽  
Interpolation Process ◽  
Edge Information ◽  
B Spline ◽  
Interpolation Methods ◽  
Distance Weighted ◽  
Edge Features

Image interpolation is used widely in the computer vision. Holding edge information is main problem in the image interpolation. By using bilinear and bicubic B-spline interpolation methods, a novel image interpolation approach was proposed in this paper. Firstly, inverse distance weighted average method was used to reduce image’s noise. Secondly, edge detection operator was used to extract image's edges information. It can help us to select different interpolation methods in the image interpolation process. Finally, we selected bilinear interpolation approach at non-edge regions, and bicubic B-spline interpolation method was used near edges regions. Further more, control vertexes were computed from pixels with calculation formula which has been simplified in the B-spline interpolation process. Experiments showed the interpolated image by the proposed method had good vision results for it could hold image's edge information effectively.

scholarly journals Pushing the Frontiers of Accessible Chemical Space to Unleash Design Creativity and Accelerate Drug Discovery

2020 ◽  
Vol 74 (10) ◽  
pp. 803-807
Author(s):  
Thomas C. Fessard ◽  
Kristina Goncharenko ◽  
Quentin Lefebvre ◽  
Christophe Salomé
Keyword(s):  
Drug Discovery ◽  
Small Molecule ◽  
Chemical Space ◽  
Molecular Structures ◽  
Complex Structures ◽  
Small Molecule Drug ◽  
Design Creativity ◽  
Research Environments ◽  
Complex Structural ◽  
Synthetic Methodologies

In highly competitive research environments, the ability to access more complex structural spaces efficiently is a predictor of a company's ability to generate novel IP-protected small molecule candidates with adequate properties, hence filling their development pipelines. SpiroChem is consistently developing new synthetic methodologies and strategies to access complex molecular structure, thereby facilitating and accelerating small molecule drug discovery. Pushing the limits of what are perceived as complex molecular structures allows SpiroChem and its clients to unleash creativity and explore meaningful chemical spaces, which are under-exploited sources of novel active molecules. In this article, we explain how we differentiated ourselves in a globalized R&D environment and we provide several snapshots of how efficient methodologies can generate complex structures, rapidly.

A Novel HOG Descriptor with Spatial Multi-Scale Feature for FER

2014 ◽  
Vol 596 ◽  
pp. 322-327
Author(s):  
Ying Tong ◽  
Liang Bao Jiao ◽  
Xue Hong Cao
Keyword(s):  
Processing Time ◽  
Recognition Rate ◽  
Spatial Arrangement ◽  
Scale Model ◽  
Layer By Layer ◽  
Canny Operator ◽  
Edge Information ◽  
Scale Feature ◽  
Multi Scale ◽  
Rate Improvement

HOG Feature is an efficient edge information descriptor, but it ignores the spatial arrangement of local FER features. In this respect, this paper puts forward a spatial multi-scale model based on an improved HOG algorithm which uses canny operator instead of traditional gradient operator. After the image is divided into a series of sub-regions layer by layer, the histogram of orient gradients for each sub-region is calculated and connected in sequence to obtain the spatial multi-scale HOG feature of whole image. Compared with traditional HOG and the improved PHOG, the proposed SMS_HOG algorithm acquires 5% recognition rate improvement and 50% processing time reduction.

Fail-Safe Optimal Design of Complex Structures With Substructures

1982 ◽  
Vol 104 (4) ◽  
pp. 861-868 ◽  
Author(s):  
D. T. Nguyen ◽  
J. S. Arora
Keyword(s):  
Optimal Design ◽  
Design Sensitivity ◽  
Structural Systems ◽  
Complex Structures ◽  
Design Problems ◽  
Design Algorithm ◽  
Analysis And Design ◽  
Computational Advantage ◽  
Complex Structural ◽  
Fail Safe

In this paper, the problem of fail-safe design of complex structural systems is considered. A substructural formulation for this class of design problems is presented. Constraints are imposed on stresses, deflections, natural frequency, and member sizes. It is shown that a structure can be designed to withstand the projected future damage. It is also shown that the substructural formulation offers computational advantage for both structural analysis and design sensitivity analysis parts of an optimal design algorithm. Fail-safe designs of open truss and closed helicopter tailbooms are obtained using a program developed based on the substructural formulation.

scholarly journals Brain Tumor Detection by using Fcm Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 1856-1862
Keyword(s):  
Image Processing ◽  
Input Image ◽  
Contour Detection ◽  
Optimization Techniques ◽  
Video Frame ◽  
Image Process ◽  
Core Analysis ◽  
Accuracy Level ◽  
Process System ◽  
Processing Techniques

capable of changing a picture into digital type and it perform operations on image. In image process, input is a picture (may be a video frame or a photograph in any format) and therefore the output is also a picture or the characteristics of the input image. Image process system sometimes considers a picture as a 2 dimensional signal, whereas process. It’s one in all the rising technologies, with its branches of application widespread into many domains of business. Image process may be a core analysis in space engineering and it additionally acts as a thrust space in alternative disciplines of applied science. Researchers would like to do perform research in image processing; because it offers real time applications and therefore the results derived from image processing techniques are created. In this paper we have discussed about the greedy snake segmentation, snake contour detection and fcm optimization techniques for segmenting the tumor image, the accuracy level is increased up to 90% compared with the existing algorithm.

scholarly journals Hierarchical Inspection System Using Visual and MFL Probe Robots

2018 ◽  
Vol 7 (4) ◽  
pp. 283
Author(s):  
Uvais Qidwai ◽  
Muhammad Akbar ◽  
Muhammad Maqbool ◽  
Mohammed Jahanshahi
Keyword(s):  
Structural Damage ◽  
Health Condition ◽  
Modern Architecture ◽  
Inspection System ◽  
Complex Structures ◽  
Structural Health ◽  
High Rise ◽  
Modern Engineering ◽  
Wear And Tear ◽  
Complex Structural

<p>Structural Health Monitoring (SHM) represents a critical appurtenance to modern engineering that amalgamates the skills and techniques from various disciplines of engineering and computational science. Modern civil architectures, involving high-rise buildings, complex structural designs, and innovative shapes, on one hand represent the urban development, but at the same time is a challenge from sustainability perspective. In order to ensure the tenability of such structures, advanced SHM procedures need to be developed. The presented work in this paper is an effort on these lines. The wear and tear in the buildings related to weather, as well as other natural disasters, needs to be monitored regularly and systematically in order to prevent any serious structural damage. In current SHM practices, human experts are deployed at various structurally critical places on these buildings to perform specific measurements and analyze them to decide on the structural health condition. This simple approach is becoming more and more complicated as well as perilous for the human personnel involved, due to the modern architecture that involves greater heights, and complex structures. The proposed system utilizes flying and crawling/roving robots for this purpose. The flying robots, first, scan the surface of the building to any height needed, and then the custom-designed algorithms analyze the images from these scans in order to discern the possible defects/anomalies in the structure. Using these defect pointers, the custom-designed rover robot on top of the structure lowers a robotic probe that scans only those areas for substantiating the anomalies and the degree of defects present.</p>

scholarly journals Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xi Zhang ◽  
Zixie Guo ◽  
Xiangwei Liu ◽  
Longjia Zhang
Keyword(s):  
Edge Detection ◽  
Machine Tool ◽  
Tool Path ◽  
Contour Detection ◽  
Canny Operator ◽  
Online Tools ◽  
Processing Accuracy ◽  
Image Edge ◽  
Path Measurement ◽  
Edge Detection Method

Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this study. The precontour is segmented by binarization, the second derivative in the neighborhood of the demand point is calculated, and the obtained value is sampled according to the specified rules for curve fitting. The point whose curve ordinate is 0 is the subpixel position. The experiment proves that an improved subpixel edge can be obtained. Results show that the proposed method can extract a satisfactory subpixel contour, which is more accurate and reliable than the edge results obtained by several current pixel-level operators, such as the Canny operator, and can be used in edge detection with high-accuracy requirements, such as the contour detection of online tools.

A Registration Method Based on Image Edge Normalized Correlation

2012 ◽  
Vol 241-244 ◽  
pp. 3092-3097
Author(s):  
Lian Fa Bai ◽  
Li Qin Zhang ◽  
Xin Jing ◽  
Jiang Yue
Keyword(s):  
Image Registration ◽  
Hausdorff Distance ◽  
Experimental Results ◽  
Matching Method ◽  
Visible Image ◽  
Canny Operator ◽  
Registration Method ◽  
Edge Matching ◽  
Matching Degree ◽  
Image Edge

In order to solve the infrared and visible image registration problem, a new edge matching method is proposed. Firstly, the algorithm gets edges using Canny operator, and then computes the image edge normalized correlation value (IENC) which is treated as the matching degree of registration. In order to evaluate the performance of the proposed algorithm, a comparison experiment between the proposed algorithm and the algorithm based on Hausdorff distance is done. Experimental results show that the proposed algorithm is effective, small amount of computation and good stability.

An Efficient and Fast Iris Location Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2549-2552
Author(s):  
Chun Lei Shi ◽  
Guang Yuan Jiang ◽  
Haiyan Qi ◽  
Fei Han
Keyword(s):  
Edge Detection ◽  
Radon Transform ◽  
Hough Transform ◽  
Least Square Method ◽  
Least Square ◽  
Threshold Method ◽  
Canny Operator ◽  
Edge Information ◽  
Localization Method ◽  
Location Algorithm

The edge information of pupil was extracted by the least-square method, and the iris outer circle was extracted by the improved Canny Operator plus Hough Transform. The segmental-secondary linear localization method adopting edge detection and Radon Transform was proposed to remove the noise from eyelid on the eyelid localization, the eyelash noise and eyelid shadows were removed by threshold method.

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