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Region-based Image Retrieval (RBIR), which bases itself on image segmentation rather than global features or key-point-based local features, is a branch of Content-based Image Retrieval. This paper proposes a novel RBIR-oriented image segmentation algorithm named Edge Integrated Minimum Spanning Tree (EI-MST). The difference between EI-MST and the traditional MST-based methods is that EI-MST generates...
Recent advances in salient object detection in images have achieved obvious performance in various multimedia applications, but efficient salient object detection in videos is still a challenging problem. In this paper, we propose a novel salient object detection method based on spatio-temporal difference and coherence of video content. Firstly, we initialize the saliency map for each keyframe based...
In this paper, a novel method for embedded text segmentation is proposed. The basic idea of our method is based on two properties of embedded texts: a) the color of text pixels is subject to gaussian distribution, b) the locaal part and the global part of embedded text shares the same color distribution. Inspired by this two characteristics, we develop a two-step text segmentation approach: in the...
In this paper, a new scalable clustering method named “APANC” (Affinity Propagation And Normalized Cut) is proposed. During the APANC process, we firstly use the “Affinity Propagation” (AP) to preliminarily group the original data in order to reduce the data-scale, and then we further group the result of AP using “Normalized Cut” (NC) to get the final result. Through such combination, the advantages...
The main objective of medical image segmentation is to extract and characterize anatomical structures with respect to some input features or expert knowledge. Traditional two-dimensional Otsu method for medical image segmentation is time-consuming computation and become an obstacle in real time application systems. This paper describes a way of medical image segmentation using optimized two-dimensional...
An automatic mathematical expression (ME) understanding system is presented. This system is consisted of three procedures, i.e., pre-processing, symbol segmentation, structure analysis among symbols within the ME. In symbol segmentation procedure, a three-stage segmentation method based on dynamic programming (DP) is introduced to segment symbols in the ME image. In structure analysis procedure, a...
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