Content based Microscopic Image Analysis is popular PDF and ePub book, written by Chen Li in 2016-05-15, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Content based Microscopic Image Analysis can be Read Online from any device for your convenience.
Content based Microscopic Image Analysis Book PDF Summary
In this dissertation, novel Content-based Microscopic Image Analysis (CBMIA) methods, including Weakly Supervised Learning (WSL), are proposed to aid biological studies. In a CBMIA task, noisy image, image rotation, and object recognition problems need to be addressed. To this end, the first approach is a general supervised learning method, which consists of image segmentation, shape feature extraction, classification, and feature fusion, leading to a semi-automatic approach. In contrast, the second approach is a WSL method, which contains Sparse Coding (SC) feature extraction, classification, and feature fusion, leading to a full-automatic approach. In this WSL approach, the problems of noisy image and object recognition are jointly resolved by a region-based classifier, and the image rotation problem is figured out through SC features. To demonstrate the usefulness and potential of the proposed methods, experiments are implemented on di erent practical biological tasks, including environmental microorganism classification, stem cell analysis, and insect tracking.
Detail Book of Content based Microscopic Image Analysis PDF
- Author : Chen Li
- Release : 15 May 2016
- Publisher : Logos Verlag Berlin GmbH
- ISBN : 9783832542535
- Genre : Computers
- Total Page : 198 pages
- Language : English
- PDF File Size : 7,8 Mb
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