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This paper discusses the semantic interactions including affiliations and geometrical interactions of different objects and different parts of one object with a multi-level segmentation framework. We propose four basic semantic relationships between not only two objects in different regions, but also any two of their sub-objects in different semantic levels. Our system obtains the semantic relationships...
Image registrationis a preliminary component in medical image analysis, which can significantly improve radiologists' performance in detecting and characterizing the lesion. In this paper, we propose an efficient feature-based non-rigid registration approach for multiphase liver CT images. The proposed method begins with extracting corners and edges simultaneously from reference and floating images...
Liver segmentation is a prerequisite for liver cancer CAD, and the result of it affects the accuracy rate of feature extraction and recognition of liver cancer directly. Euclidean distance transformation is one of the main methods in medical image segmentation. However, simply using Euclidean distance transformation will lead to some problems, such as over-segmentation and excessively high cost of...
Abnormal sintering state is often caused by the changes of improper operation in the sintering process of rotary kiln. If not addressed immediately, control system performance will be deteriorating, and even the crash will be caused. Current approaches of pattern recognition cannot be applied immediately to recognizing such abnormal sintering state of rotary kiln. Therefore, integrating both image...
The detection performance on the sintering state of the rotary kiln is mostly dependent on the features used in the recognition process. So an optimization approach of sintering feature parameters based on fuzzy support vector machines (SVM) is proposed. This method firstly uses many feature parameters to describe an image, and then reduce some useless features by portfolio optimization algorithm...
The main contribution of the paper is that it presents a suffix tree based data structure for automatic handwritten Chinese address reading. Since lots of papers have discussed the destination address block (DAB) location for Chinese, we will not extend it in this paper. Instead, we pay more attention to improve the address matching performance after DAB location. As some conventional methods, the...
A major problem of pulmonary nodules segmentation can't be solved well by conventional methods, which is other tissue in chest CT image slices, such as blood vessels and bronchi, often overlap with the nodules and they also have the same gray scale intensity approximately, for big size (>40pixels) nodules especially. This paper presents a novel approach to solve above problem, which works in two...
This paper presents a new method for segmenting and recognizing Chinese handwritten address character strings. First, a dissection algorithm is applied to over-segment string image into radical series so that the correct segmentation could be achieved by merging those radicals according to the correct merging path. Then, the method synthesizes layout analysis, isolated character classifier and bi-gram...
This paper presents a lexicon based method for Chinese string recognition. In this method, we recognize a Chinese string image as a whole by matching it against lexicons in a database. We first over-segment the input line image into a series of radicals and recognize all the possible radical combinations. We then search for candidate lexicons in a given database according to the extracted keywords...
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