Analysis of Image Processing Using Morphological Erosion and Dilation

Said, Khairul Anuar Mat; Jambek, Asral Bahari

doi:10.1088/1742-6596/2071/1/012033

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…

Erosion is one of the basic operations of morphological image processing to shrink foreground structures. This operation depends on the shape of the structuring elements [41] . This erosion step is used to separate areas connected by thin or small lines or curves.…”

Section: Proposed Methodsmentioning

confidence: 99%

Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study

Hermawati,

Trilaksono,

Nugroho

et al. 2024

MethodsX

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“…

Section: Proposed Methodsmentioning

confidence: 99%

Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study

Hermawati,

Trilaksono,

Nugroho

et al. 2024

MethodsX

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“…When an input image contains interference, it should be suppressed and its interior filled to enable subsequent processing. A binary picture is the input, and the original image and an operator are needed for the computation [23]. The open operation involves first expanding the image and then eroding it, which allows for the filling of any missing pixel spots in the image.…”

Section: Morphological Open Arithmeticmentioning

confidence: 99%

High-precision rail movement measurement under ambient-light changes via video image progressing

Yao,

He,

Dong

2024

Meas. Sci. Technol.

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The advancement of train technology makes monitoring railroad lines increasingly important. The use of cameras to measure rail movement can be done in real-time monitoring. The camera, however, is easily influenced by variations in ambient light intensity. Therefore, this research proposes a method to address the issue. The system can calculate rail displacement without being affected by ambient light intensity and monitor rail displacement in real-time. By using a flexible field programmable gate array-based framework that uses parallel and pipelined architecture to process image data, the system’s efficiency is improved by 24.7%. The system can accurately locate and measure displacement in complex environments despite interference from light and surroundings. Following experimental validation, the detection system achieves 0.07 mm precision and 95.2% detection accuracy in varying light.

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“…This thin line can be eliminated using the erosion method. Erosion is a morphological operation that shrinks the boundaries of objects in an image [6]. It is commonly used to remove small objects or thin features from an image, it is performed by convolving the image with a small kernel or structuring element.…”

Section: Erosionmentioning

confidence: 99%

“…The dilation operation involves expanding the boundaries of the object in the image, resulting in an increase in its size. This is achieved by convolving the image with a structuring element [6], similar to the erosion operation. The formula for dilation is:…”

Section: Dilationmentioning

confidence: 99%

Detecting residuals at plastic samples to optimize laser cutting processes

Madrin

Dittrich

Schneider

et al. 2023

Pattern Recognition and Tracking XXXIV

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When using a molding machine to produce plastic samples, unwanted residuals can occur. Within this study two image processing methods for the detection of residuals at plastic samples are evaluated. The aim of the two suggested methods is to detect the position of the residuals at the plastic sample reliable and to transform the image-based information into laser machine coordinates. By using the transferred coordinates, the laser machine can remove the detected residuals by laser cutting accurately without damaging the sample. The measurement setup for both methods is identical, the difference is in the processing of the captured raw image. The first method compares the raw image with the image masking template to determine the residual. The second method processes the raw image directly by comparing the light intensity transmitted through the sample to distinguish the residual from the main sample. Once the residuals can be detected, binary shifting are then performed to locate the cut lines for the residuals. The lines obtained from the image in pixel scale must then be accurately converted into millimeter-scale so that the laser machine can use them. By comparing the two methods mentioned above, the method that uses template images has more accurate and detailed results, leaving no small residuals on the sample. Meanwhile, in the method that compares the intensity of the transmitted light through the sample, there were undetectable residuals that did not produce the desired straight line. However, using the image template-matching method has some drawbacks, such as requiring each measurement to be in the same position. And thus, a more detailed design process is needed to stabilize the measurement process. In this study, a design has been made in terms of hardware as well as software with a GUI that can set several important parameters for measurement. From the results of this study, we obtained a system that can cut the residuals on the sample without damaging the sample.

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Analysis of Image Processing Using Morphological Erosion and Dilation

Cited by 17 publications

References 6 publications

Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study

Detection method of viral pneumonia imaging features based on CT scan images in COVID-19 case study

High-precision rail movement measurement under ambient-light changes via video image progressing

Detecting residuals at plastic samples to optimize laser cutting processes

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