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The most common approaches to image segmentation are shown below:
- Threshold segmentation is the simplest method and consists of classifying pixels with respect to a threshold value.
- Edge-based segmentation is one of the most common approaches.
Mar 13, 2021 · In this paper, we present new image segmentation methods based on hidden Markov random fields (HMRFs) and cuckoo search (CS) variants.
In this paper, we present new image segmentation methods based on hidden Markov random fields (HMRFs) and cuckoo search (CS) variants.
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In this paper, we present new image segmentation methods based on hiddenMarkov random fields (HMRFs) and cuckoo search (CS) variants.
In this paper, we present new image segmentation methods based on hidden Markov random fields (HMRFs) and cuckoo search (CS) variants.
We present, as an illustration of these methods, four examples of digital processes of images obtained by different nondestructive testing solutions.
This paper comprehensively reviews the current applications and development trends of object detection algorithms in NDT technology for pressure-bearing ...
Jan 22, 2023 · Among the non-destructive testing (NDT) techniques, infrared thermography (IRT) is an attractive and highly reliable technology that can measure ...
Image processing application for non destructive testing - IEEE Xplore
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Image processing application for non destructive testing ... The paper demonstrates the results using Image processing Tool Box on Matlab platform.
Missing: Segmentation | Show results with:Segmentation
Using image processing for this purpose, it will provide more reliable results since the human factor used in analysis of radiographic images has been reduced.