Image processing system using MATLAB-based analytics

Ijemaru, Gerald K.; Nwajana, Augustine O.; Oleka, Emmanuel U.; Otuka, Richard I.; Ihianle, Isibor Kennedy; Ebenuwa, Solomon H.; Raymond, Emenike

doi:10.11591/eei.v10i5.3160

Cited by 17 publications

(7 citation statements)

References 22 publications

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“…Figure 4 shows the image processing algorithm. The process is based on morphological operations such as opening, closing and segmentation [3], [4], [19]. The objective was to obtain binarized images in order to extract characteristics such as the equivalent area and diameter [20].…”

Section: Impact Charpy Machine and Specimen Testmentioning

confidence: 99%

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Obtaining the percentages of ductility and brittleness of AISI/SAE 1020 and 304 steels, using digital image processing.

Rincon-Quintero,

Lengerke,

Sandoval-Rodriguez

et al. 2024

IOP Conf. Ser.: Mater. Sci. Eng.

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This research is the integration of a set of elements in a system of capturing, processing, and digital image analysis. It allows a better visual and numeric interpretation to determine the toughness, ductility percentage, and fragility of steel AISI/SAE 1020 and 30, getting better qualitative and quantitative observation of the results from the impact test (Charpy test). Patterns in the standard form, ASTM E23, were digitalized to evaluate the percentage of ductility/fragility of specimen testing. After, we calculated the area and the equivalent diameter of the material. using digital image processing and numerical comparison between the patterns specified in the standard form ASTM E23 and the testing in the impact test, and it allows to find the kind of pattern it is closest and determine which degree of ductility. Finally, the results were compared by three experts. The algorithm accuracy was 80%.

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Section: Impact Charpy Machine and Specimen Testmentioning

confidence: 99%

“…Digital image processing has been used in multiple applications [1], [2], [3], [4]. The applications refer to topics such as fruit selection [5], classification of medical images [6], [7], structural analysis [8], [9], [10] and materials classification [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Obtaining the percentages of ductility and brittleness of AISI/SAE 1020 and 304 steels, using digital image processing.

Rincon-Quintero,

Lengerke,

Sandoval-Rodriguez

et al. 2024

IOP Conf. Ser.: Mater. Sci. Eng.

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“…The following platforms are used in this study:  MATLAB: the first software platform used in this work is matrix laboratory (MATLAB). The image processing toolbox (IPT) is being the most relevant to this study [17]. MATLAB (version 2019) is used to design Sobel filter which is used to manipulate image processing and to produce edge detection for the original image.…”

Section: Implementation Platformsmentioning

confidence: 99%

Hardware implementation of Sobel edge detection system for blood cells images-based field programmable gate array

Younis

Jarjees

2022

IJEECS

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The microscopic-blood image has been used to diagnose various diseases according to the morphological specifications of red and white blood cells. <span lang="EN-US">However, the manual analysis and procedures are not accurate due to the human error. Therefore, several studies conducted to find new techniques to perform this analysis using computer algorithms. The complexity of these algorithms led to thinking in simpler ways or to the hardware solutions. On the other hand, edge detection is a mathematical procedure that play an essential role in the field of medical image processing. It is considered as one of the foundations' processes for other procedures, such as the segmentation and the classification of the image. The Sobel filter is one of the conventional methods that is used to perform the edge detection process. It is based on finding the local contrast for the level of intensity of the image. This paper presents a proposed and a new method for detecting the edges of cells in the microscopic blood images using Sobel filter and its hardware implementation on the field programmable gate array (FPGA) chip. Three different techniques are proposed: MATLAB, OpenCV standard code, and FPGA customize code which give the best visual results, minimum timing results than the others.</span>

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“…IDS that is based on signatures and anomalies [9,10]. Rule-based intrusion detection could be implemented into this system [8,11].…”

Section: Introductionmentioning

confidence: 99%

Cloud Data Transfer and Harmful Activity Detection using

Venkatesan¹,

Jothiprakash²,

Nalini³

2023

IJSMEM

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Many sectors have begun adopting cloud computing. The hazards associated with virtualization and the dispersed nature of the cloud have resulted in a number of reported security threats and attacks. The complicated system and robust design necessitate a foundation of the fundamentals. In this paper, we introduce a fool proof system for authenticating and exchanging cloud data. An effective IPSO-KELM can identify malicious actions taken by users. The origin of the data is verified first. The IPSO-KELM then decides whether the data was malicious or authentic once the sender has been verified and before it is sent to the cloud. The SHA256-RSA technique protects normal data in transit. In this article, we compare and contrast the suggested IPSO-KELM and SHA256-RSA technique to identifying fraudulent users and sharing data in the cloud with other methods.

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Image processing system using MATLAB-based analytics

Cited by 17 publications

References 22 publications

Obtaining the percentages of ductility and brittleness of AISI/SAE 1020 and 304 steels, using digital image processing.

Obtaining the percentages of ductility and brittleness of AISI/SAE 1020 and 304 steels, using digital image processing.

Hardware implementation of Sobel edge detection system for blood cells images-based field programmable gate array

Cloud Data Transfer and Harmful Activity Detection using

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