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In iris recognition systems, iris localization is a critical step which affects the further results definitively. Most of the traditional localization methods were time consuming and sensitive to noises. To solve the problems, we propose an algorithm which adopts a momentum based level set method to locate the pupil boundary. This method hasan advantage of decreasing the effect of local optima solutions...
In this work, we employ a pair wise Markov Random Field (MRF) and a Conditional Random Field (CRF) for bi-level image segmentation and denoising. For both tasks, the Ising pair wise model and the Iterative Conditional Mode (ICM) inference method are implemented, assuming the parameters of the unary and pair wise potentials are known. Experimental results demonstrate the effectiveness of the proposed...
The limitations of parameter determination manually exist in the current object based image analysis (OBIA) of the commercial software, such as Definiens eCognition or ENVI FX, In this paper, an intelligent method based on Mean-Shift and support vector machines (SVM) algorithm of OBIA is proposed to extract the building damage caused by catastrophic earthquakes, which aims to improve the accuracy...
Image segmentation is a chief and basic issue in the field of image analysis as well as pattern recognition. Meanwhile, it is also the classical puzzle in image processing. And the watershed transform is a powerful morphological tool for image segmentation. But its short-coming is to cause over-segmentation. Therefore, labeling watershed algorithm has been presented in this paper. Firstly, a bilateral...
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