Metadata Extraction for Calculating Object Perimeter in Images

Name, Marcio Hosoya; Ribeiro, Sergio Silva; Maruyama, Teruo Matos; Valle, Henrique de Padua; Falate, Rosane; Vaz, Maria Salete Marcon Gomes

doi:10.1109/tla.2014.7014529

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…When “ maxValue ” was set to 0–56, most of the areas on the image showed excessive backlight because there were only limited grayscales ( Figure 4 ). These results cannot effectively distinguish pattern contours from the background [ 18 ]. However, when “ maxValue ” was set to 57 to 255, some noise appeared, and reasonable and acceptable results were found.…”

Section: General Proceduresmentioning

confidence: 99%

Integrated Automatic Optical Inspection and Image Processing Procedure for Smart Sensing in Production Lines

Qiu,

Tsai,

Chen

et al. 2024

Sensors

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An integrated automatic optical inspection (iAOI) system with a procedure was proposed for a printed circuit board (PCB) production line, in which pattern distortions and performance deviations appear with process variations. The iAOI system was demonstrated in a module comprising a camera and lens, showing improved supportiveness for commercially available hardware. The iAOI procedure was realized in a serial workflow of image registration, threshold setting, image gradient, marker alignment, and geometric transformation; furthermore, five operations with numerous functions were prepared for image processing. In addition to the system and procedure, a graphical user interface (GUI) that displays sequential image operation results with analyzed characteristics was established for simplicity. To demonstrate its effectiveness, self-complementary Archimedean spiral antenna (SCASA) samples fabricated via standard PCB fabrication and intentional pattern distortions were demonstrated. The results indicated that, compared with other existing methods, the proposed iAOI system and procedure provide unified and standard operations with efficiency, which result in scientific and unambiguous judgments on pattern quality. Furthermore, we showed that when an appropriate artificial intelligence model is ready, the electromagnetic characteristic projection for SCASAs can be simply obtained through the GUI.

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Section: General Proceduresmentioning

confidence: 99%

Integrated Automatic Optical Inspection and Image Processing Procedure for Smart Sensing in Production Lines

Qiu,

Tsai,

Chen

et al. 2024

Sensors

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Research and Implementation of Automatic Indexing Method of PDF for Digital Publishing

Chen

Huang

Zhang

et al. 2023

ACM Trans. Asian Low-Resour. Lang. Inf. Process.

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With the rapid development of mobile Internet technology and artificial intelligence technology, the digital publishing industry is in urgent need of using intelligent technology to change the current way of content production and service. Most of the e-book resources owned by publishing enterprises are in PDF format, which is not suitable for reading on mobile devices, and it is not convenient to directly extract key information and construct knowledge graph. According to the above, this paper designs a PDF automatic indexing scheme, which can identify all the element information in PDF and output structured data automatically, and then extract all the key information in it to generate a keyword library with tag weight. The scheme mainly involves two key technical points: parsing PDF based on text features and grammar rules and extracting keywords based on tag weight. The former visualizes the text block in PDF into a rectangular area, and divides the elements by clustering algorithm, and finally outputs structured data containing all the information. The latter combines the tags and their weights in the structured data and extracts the keywords in it by the inter-word relation algorithm. The structured data and keywords database produced by this scheme can be used to produce intelligent e-book and build knowledge graph, thus helping publishing enterprises to transform from a content service provider to an intelligent knowledge service provider. This transformation can deeply excavate the core value of the content held by the publishing industry and promote the digitization and intelligentization process of the whole industry.

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A computational method to assist evaluation of root length of soybean based on digital image processing

et al. 2019

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The evaluation of the root system is important for better understanding the effects of nutrient management on soil and plant nutri-tion. However, root system studies and culture are slow and show low accuracy. In this context, digital image processing may be an alternative. The objective of this research was to develop a computational method to assist evaluation of the soybean root growth. Initially, the free and open access software, available at: http://rm.deinfo.uepg.br/, was developed in Java platform with the OpenCV library supply through the plug-in JavaCV. To evaluate the software, copper wires with 10 mm, 20 mm, and 50 mm of length manually measured using callipers. They were scanned with a resolution of 300 dpi and then images were loaded in the software. Variation coefficients between 0.01 and 2.99 % were obtained. Subsequently, the samples of soybean roots were scanned and the results of developed software and Safira software were correlated with those from the line-intersect method. The determination coefficients (R² = 0.999) of the developed software, on average, were better than those obtained with Safira software (R² = 0.733), when compar-ing with the line-intersect method. Therefore, the proposed method was accurate for length measurements of soybean roots.

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Metadata Extraction for Calculating Object Perimeter in Images

Cited by 3 publications

References 6 publications

Integrated Automatic Optical Inspection and Image Processing Procedure for Smart Sensing in Production Lines

Integrated Automatic Optical Inspection and Image Processing Procedure for Smart Sensing in Production Lines

Research and Implementation of Automatic Indexing Method of PDF for Digital Publishing

A computational method to assist evaluation of root length of soybean based on digital image processing

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