Particle swarm optimisation K-means clustering segmentation of foetus ultrasound image

Parasar, Deepa; Rathod, Vijay R.

doi:10.1504/ijsise.2017.084569

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…In academic research and practical applications, image segmentation methods can generally be divided into two categories. One category is traditional image segmentation methods, mainly including threshold segmentation [ 81 ], edge segmentation [ 82 , 83 ], region segmentation [ 84 , 85 ], clustering segmentation [ 86 ], mathematical morphology segmentation [ 87 ], etc. The special point is that image features need to be manually selected.…”

Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning

confidence: 99%

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Wang¹,

Zhan²,

Bai³

et al. 2022

Micromachines

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At present, rotating machinery is widely used in all walks of life and has become the key equipment in many production processes. It is of great significance to strengthen the condition monitoring of rotating machinery, timely diagnose and eliminate faults to ensure the safe and efficient operation of rotating machinery and improve the economic benefits of enterprises. When the state of a rotating machine deteriorates, the thermal energy that is much more than its normal operation will be generated due to the increase in the friction between the components or other factors. Therefore, using the infrared thermal camera to collect the infrared thermal images of rotating machinery and judge the health status of rotating machinery by observing the temperature distribution in the thermal images is often more rapid and effective than other technologies. Nevertheless, after decades of development, the research achievements of infrared thermography (IRT) and its application in various industrial fields are numerous and complex, and there is a lack of systematic sorting and summary of the achievements in this field. Accordingly, this paper summarizes the development and application of IRT as a non-contact and non-invasive tool for equipment condition monitoring and fault diagnosis, and introduces the basic theory of IRT, image processing technology and fault diagnosis methods of rotating machinery in detail. Finally, the review is summarized and some future potential topics are proposed, which will make the subject easier for beginners and non-experts to understand.

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Section: The Flow Of Fault Diagnosis Methods For Rotating Machinery U...mentioning

confidence: 99%

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Wang¹,

Zhan²,

Bai³

et al. 2022

Micromachines

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show abstract

“…In the blueberry image context, the regions correspond to the different holes, backgrounds, and nanoparticle structures constituting the different regions of interest. The automatic determination of the number of regions with the same characteristics (clusters) is a challenging problem [46,47].…”

Section: Segmentation (Processing)mentioning

confidence: 99%

Microscopic Image Segmentation and Morphological Characterization of Novel Chitosan/Silica Nanoparticle/Nisin Films Using Antimicrobial Technique for Blueberry Preservation

2021

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In the current work, the characterization of novel chitosan/silica nanoparticle/nisin films with the addition of nisin as an antimicrobial technique for blueberry preservation during storage is investigated. Chitosan/Silica Nanoparticle/N (CH-SN-N) films presented a stable suspension as the surface loads (45.9 mV) and the distribution was considered broad (0.62). The result shows that the pH value was increased gradually with the addition of nisin to 4.12, while the turbidity was the highest at 0.39. The content of the insoluble matter and contact angle were the highest for the Chitosan/Silica Nanoparticle (CH-SN) film at 5.68%. The use of nano-materials in chitosan films decreased the material ductility, reduced the tensile strength and elongation-at-break of the membrane. The coated blueberries with Chitosan/Silica Nanoparticle/N films reported the lowest microbial contamination counts at 2.82 log CFU/g followed by Chitosan/Silica Nanoparticle at 3.73 and 3.58 log CFU/g for the aerobic bacteria, molds, and yeasts population, respectively. It was observed that (CH) film extracted 94 regions with an average size of 449.10, at the same time (CH-SN) film extracted 169 regions with an average size of 130.53. The (CH-SN-N) film presented the best result at 5.19%. It could be observed that the size of the total region of the fruit for the (CH) case was the smallest (1663 pixels), which implied that the fruit lost moisture content. As a conclusion, (CH-SN-N) film is recommended for blueberry preservation to prolong the shelf-life during storage.

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“…The performance of Fmeasure metric compares effective two other two methods. L Deepa Parasar, Vijay R. Rathod [55] describes various segmentation methods such as Fuzzy C-mean, seed region, watershed. They have used PSO K-Clustering, Seed region PSO, Fuzzy clustering.…”

Section: Related Workmentioning

confidence: 99%

A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation

Tripathi¹,

Maktedar²

2018

IJCA

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An accurate technique for segmentation of fruits and vegetables image is vital and major challenges in computer vision. Various segmentation techniques are available in digital image processing. In this paper, we introduce a framework for fruits and vegetables background subtraction employing Otsu"s algorithm. This method is widely used in various image segmentation applications. The Otsu"s method is useful in subtraction of background under the partial effect of occlusion, cropping, noisy and blurred images. Our proposed method was experimented by employing fruit and vegetable images acquired locally. Our experimental results confirm that, Otsu"s threshold based method is able to extract fruit and vegetable objects with good accuracy.

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Particle swarm optimisation K-means clustering segmentation of foetus ultrasound image

Cited by 9 publications

References 20 publications

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Microscopic Image Segmentation and Morphological Characterization of Novel Chitosan/Silica Nanoparticle/Nisin Films Using Antimicrobial Technique for Blueberry Preservation

A Framework with OTSU’S Thresholding Method for Fruits and Vegetables Image Segmentation

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