Currently,doctors in the study of the diagnosis of disease and treatment are inseparable from the reference and use of the information of the medical images.The update of imaging techniques of medical Images and the widely use of the equipments make the number of the medical images grow at an alarming rate all the time, and
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With the development of imaging equipment and computer science, imagesegmentation has become a key step for computer vision systems.This paper takesnature-scene images as its subject, has done further researches on visual attention modeland Graph Cut segmentation algorithm, achieved the following results:(1) Due to the a variety of factors, the outdoor natural scenes have unstructured,diversity, randomness
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Biometrics is a kind of science and technology using individual physiological or behavioral characteristics to verify identity. It provides a highly reliable and robust approach to the identity recognition. Automatic ear detection and recognition is not only a new branch of biometrics but also one of the most challenging tasks for image processing. Compared with
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With the rapid development of the computer science and technology, computer is more and more widely used in the field of medicine. Cell image processing plays an important role in medical intelligent diagnosis. Cell segmentation is basis of feature extraction and recognition of cells, which also plays a decisive role on identification of cell. The
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Macrophages, as a kind of immune cells in the body, plays a very important role in the body’s resistance to infection, anti-tumor immune regulation, etc. Because the shape of the macrophages change is big. and number is large, if relys on the traditional cell analysis and detection methods, namely the doctor through the microscope to
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Ear recognition is a new technology of biologic recognition. Compared with other objects of biologic recognition, human ear has unique physiological and structural advantage. It can be a beneficial supplement for other biometric features, or be solely used at some situations as well.Currently, most researches are focused on characteristics of human ear. However, interferential factors
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Along with the developing of wood science,it has become an important direction of wood research to analysis wood cell image by Computer Vision.Image segmentation is an important approach to analysis cell area,number,and percentage of cell wall,which are all important parameters to reflect wood’s property.It is also the foundation of calculation and analysis in Microcosmic Form
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Image segmentation is the key step from image processing to image analysis, and also is a basic computer vision technology. This is because the image segmentation, target separation, feature extraction and measurement parameters make the original image into a more abstract and more compact form, making more high-level analysis and understanding possible. Therefore, over the
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In image research and application, people usually interested in some region of image, which is often called target or foreground (the others is called background). It generally indicates the specific region with special property in the image. In order to identify and analyze the target in the image, separation of the region from the image
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Watershed transform is a fast morphologic-based image segmentation algorithm which gained a lot interest recently. But pure watershed always produces an over-segmented result. This thesis contains research on three different ways for modifying the watershed algorithm, which represent three different stages of a complete algorithm. The first stage is to use multi-scale morphologic filter to
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