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A new technique for automatic extraction of object region and boundary from the background for cell nucleus segmentation of cervical cancer images is proposed in this work. Gradient magnitude and directional information are employed to extract the exact boundary of the object under consideration. Segmentation process begins with preprocess as computation of optimum threshold based on the clusters...
In this paper, we present a robust method for text detection in color scene image. The algorithm is based on edge detection and connected-component. In our framework, firstly, multi-scale edge detection is achieved by Canny operator and an adaptive thresholding binary method. Secondly, the filtered edges are classified by the classifier trained by SVM combing HOG, LBP and several statistical features,...
In this paper, we propose a framework for isolating text regions from natural scene images. The main algorithm has two functions: it generates text region candidates, and it verifies of the label of the candidates (text or non-text). The text region candidates are generated through a modified K-means clustering algorithm, which references texture features, edge information and color information. The...
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