Abstract
Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results. To reduce this disadvantage, the content-based medical image retrieval has been developed. However, this system still has many challenges. In this paper, we proposed a new method for content-based medical image retrieval. The proposed method includes two stages: the offline task and online task in medical image database. In the first stage, we extracted local object features of medical images in shearlet domain. Then, we detect the contour of object in images by active contour model. In the second stage, we make online task for content-based image retrieval in database. Our system receipts a query image and shows the similar in images by similarity comparison with the information collected from the first stage. Experimental results have shown that the proposed method is better than the other methods.
Highlights
The image storage plays a big role in the cutting-edge life
We proposed a method for content based medical image retrieval in the database image
The rest of this paper is organized as follows: in section 2, we described the shearlet transform and its advantages for medical image retrieval, the section 3 present the proposed method for medical image retrieval
Summary
The image storage plays a big role in the cutting-edge life. In the medical field, the information of patients must be saved by medical images such as: CT, MRI, X-ray, etc. The number of images is stored more and more over time. This is a large resource for research or diagnosis in many cases. The approach which uses information of labeled images has many drawbacks: low compatibility for many different applications or description on the label which decides image semantics. Because of these reasons, modern systems must give the searching results which depend on image’s features. Modern systems must give the searching results which depend on image’s features This is a complex demand for the concern of people around the world due to the fact that the accurate results are very vital. As a result, contentbased image retrieval (CBIR) was developed to adapt with demand which creates a query based on the content of input images
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