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A robust semi-supervised method using the mode filter has been presented for learning with partially-labeled training data including label errors. The mode filter has been originally developed for smoothing images contaminated with impulsive noises. However it needs nonlinear optimization which is usually solved with iterative methods. In this paper, we propose a direct solution method with full search...
Texture segmentation by Pseudo Jacobi -Fourier moments is presented in this paper. Given a window size, moments for each pixel in the image are computed within small local windows, and then texture feature images be obtained by using a nonlinear transducer. Finally, each pixel in the image is classified by K-mean clustering algorithm.
In this paper, a novel algorithm for intensity inhomogeneous image segmentation is proposed. The presented method introduces a signed pressure force function using the local information of the image to be segmented. Thus, this model can work with heterogeneous images. In addition, by taking the advantages of Geodesic active contour (GAC) and Chan-Vese (C-V) model, the method could deal with objects...
Great challenges are faced in the offline recognition of cursive Arabic handwriting. This paper presents a segmentation-free system based on Hidden Markov Model (HMM) to handle this problem, where character segmentation stage is avoided prior to recognition. The system first extracts a set of robust features on binary handwritten images by sliding windows. Then the proposed system builds character...
A novel method using pseudo color to extract the vein pattern is proposed. The vein patterns obtained include hand vein, neck vein and arm vein. In our work, a thermal camera is adopted as the input device to capture the thermal images. The results show that vein pattern can be obtained and pseudo color method is an effective method of revealing the veins from the background tissue. The unwanted features...
Digital documents are widely used today. So converting written documents such as books to digital documents is unavoidable. The most popular method for doing this is OCR. Usually documents are scanned and then scanned images are sent to OCR. Scanned images need some preprocessing in order to be used in OCR efficiently. In this paper, we introduce a method for preparing scanned Persian/Arabic printed...
We propose method that allows some machine to determine surrounding objects. It is important that algorithm must use small computer resources so that machine could work in real time. To improve segmentation on natural images, it is necessary to combine multiple features effectively. Our experimental results are consistent with the theoretical analysis
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