Reproduction of Images of Convex Figures by a Set of Stored Reference Surfaces

2020 ◽  
pp. 264-288
Author(s):  
Sergey Yuzhakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Image Processing ◽  
Data Storage ◽  
Processing System ◽  
Video Data ◽  
Binary Images ◽  
Parallel Shift ◽  
Images Processing ◽  
Digital Images Processing

Image processing is one of the important tasks of creating artificial intelligence. The methods for digital images processing are widely used by developers at this time. The parallel shift technology makes it possible to create alternative ways of describing and processing images. It involves the transformation of images not into a set of pixels, but into a set of functions that are organized in a certain way. The completeness of the system is determined by the ability to perform some basic tasks. Image processing includes image pre-processing, video data storage, various image manipulations, images restoration. This chapter discusses a mathematical model for the recovery of flat convex binary images. Images are restored on the basis of data generated by an image processing system based on parallel shift technology. Two methods are provided for determining the imaging area.

Image intelligent automatic processing analysis based on artificial intelligence vision generator

2020 ◽  
pp. 1-10
Author(s):  
Ruijuan Wang ◽  
Wei Zhuo
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Deep Learning ◽  
Human Error ◽  
Processing System ◽  
Image Data ◽  
Visual Image ◽  
Automated Analysis ◽  
Learning Method ◽  
Deep Learning Model

The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. The degree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Deep learning method can extract features step by step in the original image from the bottom to the top. Therefore, based on feature analysis technology, this paper uses the deep learning method to intelligently and automatically analyse the visual image. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. The process is completely intelligent and automatically processed. First, improve the deep learning model and use massive image data to choose and optimize parameters. Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency.

Determination of the Delamination Percentage of Compacted Bamboo Guadua Using Extended Field Digital Images Processing

2014 ◽  
Vol 600 ◽  
pp. 15-20 ◽  
Author(s):  
Edgar Torres ◽  
Patricia Luna ◽  
Caori Takeuchi
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Digital Processing ◽  
Extended Field ◽  
Images Processing ◽  
Digital Images Processing ◽  
Delamination Area

The percentages of delamination of Compacted Bamboo Guadua were calculated using digital images processing. Three processes were done in the development of this project: tests of delamination, digital image pre-processing and digital image processing of the images acquired. The test of delamination followed the ASTM 5824. The digital image pre-processing was supported on the acquisition of sequences of images, doing a sweeping of the samples, and finally the digital processing worked in the generation of panoramas with sequences of images acquired from the sample. Additionally, the total area from the sample was measured digitally, the segmentation and the measurement of delamination area were done, finding the ratio between the delamination area and the total area of the sample, and obtaining the value of percentage of delamination per section. Digitally, the obtained values for samples made with fibers obtained from Stick (Varillón), Top (Sobrebasa), Middle (Basa) parts and mixture of them were 16.97%, 9.96%, 5.96% and 8.64% respectively.

Design of Image Processing System Based on FPGA

2011 ◽  
Vol 403-408 ◽  
pp. 1281-1284
Author(s):  
Guo Sheng Xu
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Speed ◽  
Design Method ◽  
Processing System ◽  
Video Data ◽  
Scanning System ◽  
Time Data ◽  
The Real ◽  
Video Data Compression

To speed up the image acquisition and make full use of effective information, a design method of CCD partial image scanning system is presented. The system achieves to functions of the high -speed data collection, the high -speed video data compression the real time video data Network Transmission and the real time compression picture data storage. the data processed was transferred to PC through USB2.0 real-time to reconstruct defects microscopic images. Experiments show that the system has stable performance, real-time data transmission and high quality images, feasible by adopting the algorithm and scheme proposed in this paper.

Artificial Intelligence Techniques for Cancer Detection in Medical Image Processing: A Review

2021 ◽  
Vol 12 (2) ◽  
pp. 2667-2673
Author(s):  
Er. Charnpreet kaur, Et. al.
Keyword(s):  
Artificial Intelligence ◽  
Lung Cancer ◽  
Image Processing ◽  
Large Scale ◽  
Detection System ◽  
Processing System ◽  
Body Parts ◽  
Cancer Breast ◽  
Broad Term ◽  
Abnormal Cells

Cancer is the uncontrolled growth of abnormal cells in any part of a body.  Cancer is a broad term for a group of diseases caused when abnormal cells grows in different body parts. There are more than hundred types of Cancer such as Lung cancer, Breast cancer, Skin cancer, Oral cancer, Colon cancer and Prostate cancer. Delay in treatment can cause serious health issues, even cause loss of life. This paper gives the review on methods of detection of lung cancer and brain cancer and liver using image processing. The methods used for detection are Automated and computer-aided detection system (CAD) with artificial intelligence and these methods are good to process a large datasets to provide accurate and efficient results in the detection of cancer. However, these processing system have to face many challenges to implement on large scale including imageacquisition,  pre-processing, segmentation, and data management and classification strategies to be compatible with AI. This paper reviews the various image acquisition and segmentation techniques. These techniques become the need of an hour to cater the growing patient population and for the improvement in the Healthcare system.

scholarly journals TEKNIK PENGOLAHAN CITRA PENGUKURAN BESARAN TEGANGAN REGANGAN PLAT PERSEGI DENGAN METODE MOIRE’ SEBAGAI SALAH SATU ALTERNATIF PENGUKURAN DALAM DESAIN INDUSTRI MANUFAKTUR

2020 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Hidayat Marlang
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Dark Light ◽  
Binary Images ◽  
Moire Pattern ◽  
Light Pattern ◽  
Moiré Pattern ◽  
Sophisticated Equipment ◽  
Moire Method ◽  
Images Processing

Moire method is one of alternative method that can be choosen in the stress-strain measurements because it is simple and does not require sophisticated equipment nor expensive with results that is accurate enough. The object of this research is a square plate clamped all edges and given load in the middle of the plate with various value. Material deformation produced moire patterns in the form of dark-light pattern (fringes) and the image have captured using a digital camera.The image of moire pattern from digital camera then processed by MATLAB using image processing tool. Furthermore, the results processed as binary images or treshold to get a clearly visible moire pattern. Finally, stress obatined from MATLAB by using image processing tool was compared with the numerical methods.The difference obtained at average 6% for the three types of loading and at average 8.8% with the numerical method.Metode Moire menjadi pilihan dalam pengukuran perpindahan/deformasi karena lebih mudah dan tidak memerlukan peralatan yang canggih dan mahal dengan hasil yang cukup akurat. Sebagai obyek penelitian adalah plat bujursangkar yang dijepit disemua sisinya dan diberi beban terpusat ditengah-tengahnya dengan besar yang bervariasi. Pengolahan pola gelap-terang (fringes) hasil kamera digital atau images processing dilakukan dengan software MATLAB. Sebagai pembanding digunakan metode analitis dan numerik. Hasil eksperimen diperoleh melalui software MATLAB menunjukkan bahwa medan stress yang dihasilkan oleh software melalui image processing dibandingkan dengan metode analitis terdapat perbedaan rata-rata 6% untuk tiga jenis pembebanan dan 8,8% antara metode moire dengan numerik

Micrograph image processing system

1986 ◽  
Vol 44 ◽  
pp. 872-873
Author(s):  
R. K. Mittleman ◽  
N. W. Parker
Keyword(s):  
Image Processing ◽  
Data Storage ◽  
Processing System ◽  
Interactive System ◽  
Process Data ◽  
Outer Product ◽  
Image Processing System ◽  
Storage Devices ◽  
Modern Computer ◽  
Electron Microscopes

We have developed a computer-driven image processing system for the analysis of STEM micrographs. Modern computer and data storage devices give the researcher the ability to record and store large numbers of images. Our system was designed to allow rapid viewing and to facilitate the measurement process. Making use of an IBM 4381-2 mainframe computer and a high resolution (1024 x 1280 pixels) Metheus Omega 500 display system, we have written a flexible, interactive system to display and process data from our electron microscopes. The system is menu-driven from a mouse and can call subroutines from fortran, pascal or APL.APL is an interpreted, interactive language that is particularly well suited to real time image processing. Algebraic manipulations can be performed with equal ease on arrays of any rank and the user can affect many complex operations on dataarrays, usually with a single line of code (e.g., gray scale expansion, zoom, inner and outer product, etc.).

Detection Design and Implementation of Image Capture and Processing System Based on FPGA

2012 ◽  
Vol 433-440 ◽  
pp. 4565-4570
Author(s):  
Guo Sheng Xu
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Speed ◽  
High Performance ◽  
Low Cost ◽  
Processing System ◽  
Video Data ◽  
Image Capture ◽  
The Real ◽  
Video Data Compression

Due to the project in this article, a kind of image capture and processing system based on FPGA is proposed, the low cost high performance FPGA is selected as the main core, the design of the whole system including software and hardware are implemented. The system achieves to functions of the high -speed data collection, the high -speed video data compression the real time video data Network Transmission and the real time compression picture data storage. the data processed was transferred to PC through USB2.0 real-time to reconstruct defects microscopic images. Experimental results prove right and feasible by adopting the algorithm and scheme proposed in this paper.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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