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Bias field which existed in MR image had an unfavorable influence on analyzing medical image, especially for medical image segmentation. To solve it, this paper proposed an approach which is based on energy minimization to estimate bias field where exists in the MR image, finish brain tissue segmentation, meanwhile. This method fully utilize the properties of factual information and bias information...
Iris recognition system is under a rapid development of biometric systems because of the uniqueness and high reliability of iris. The segmentation of iris is a key step in iris recognition, which has a significant effect on the quality of subsequent feature extraction and matching. The main propose of iris segmentation is to get more iris region and exclude eyelashes, eyelids and other interference...
A novel iris image segmentation method using watershed and region merging is put forward. Total variation flow model is used to divide the eye image into structure part and texture part. Light spots in pupil are removed by closing. Watershed and region merging are both applied in structure part. Structure part is divided into separate parts. The regions may contain iris are labeled. Then, merging...
Dental classification for periapical radiograph based on multiple fuzzy attribute is proposed, where each tooth is analyzed based on multiple criteria such as area/perimeter ratio and width/height ratio. A classification method on special type of dental image called periapical radiograph is studied and classification is done without speculative classification (in case of ambiguous object), therefore...
Forest fire is a kind of natural disaster with devastating effect on the ecological environment of the earth. In order to obtain the wildfire information in the fire scene in time and improve firefighters' efficiency to suppress the fire, the digital information about the forest fire which can exactly depict the fire behavior is very important for the fire-fighting department to give a correct extinguishing...
With the illumination of the basic idea of model-based texture analysis methods, a new feature extraction method, Finite Texture Mixture Pattern (FTMP), was proposed in this paper. FTMP is a two-tuplet set, which can be obtained by the clustering methods. Firstly, the multi-scale and multi-direction variations are calculated. Secondly, these variations of each scale are clustered into groups respectively...
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