Identification of discrete phase objects from digital images
Digital image processing and analysis is a technique commonly used to study the size distribution of the discrete phase objects in a multiphase flow system. Size distribution of the discrete objects such as particles, bubbles and droplets in multiphase flow systems is of high importance. The firs...
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| 主要作者: | |
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/39705 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | Digital image processing and analysis is a technique commonly used to study the size
distribution of the discrete phase objects in a multiphase flow system. Size distribution of
the discrete objects such as particles, bubbles and droplets in multiphase flow systems is
of high importance. The first step in the size measurement of an object from the captured
digital image is to identify the object accurately from the image. A method is proposed to
identify discrete phase object from digital images using the concept of region
segmentation and histogram analysis. Some of the crucial steps are evaluated by
simulation while others are considered theoretically. The proposed method has high
potential to be used for object identification from digital images. |
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