Yu-qian Zhao

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To segment the overlapping cells in microscopic images, an automatic method for cell image segmentation based on bottleneck detection and ellipse fitting is proposed. Firstly, cell image is segmented by threshold method, followed by a polygonal approximation to extract the feature points of cell edge. Secondly, candidate splitting point pairs are obtained(More)
Liver-vessel segmentation plays an important role in vessel structure analysis for liver surgical planning. This paper presents a liver-vessel segmentation method based on extreme learning machine (ELM). Firstly, an anisotropic filter is used to remove noise while preserving vessel boundaries from the original computer tomography (CT) images. Then, based on(More)
Video text usually provides us a lot of useful information that is important for video analysis, indexing and retrieval. However, it is still a challenging work to detect text from video images due to variation of text patterns and complexity of background. In this paper, an automatic video text detection method is proposed. Firstly, K-means is utilized to(More)
Liver segmentation from abdominal computed tomography (CT) volumes is extremely important for computer-aided liver disease diagnosis and surgical planning of liver transplantation. Due to ambiguous edges, tissue adhesion, and variation in liver intensity and shape across patients, accurate liver segmentation is a challenging task. In this paper, we present(More)
Text detection is a primary task for text recognition and understanding, which can be used in many image analysis techniques. In this paper, we propose an effective scene text detection method including three major steps: connected components (CCs) extraction, character-linking and text/non-text classification. First, for CCs extraction, we design an(More)
BACKGROUND AND OBJECTIVE Identifying liver regions from abdominal computed tomography (CT) volumes is an important task for computer-aided liver disease diagnosis and surgical planning. This paper presents a fully automatic method for liver segmentation from CT volumes based on graph cuts and border marching. METHODS An initial slice is segmented by(More)
BACKGROUND AND OBJECTIVE Accurate segmentation of liver vessels from abdominal computer tomography angiography (CTA) volume is very important for liver-vessel analysis and living-related liver transplants. This paper presents a novel liver-vessel segmentation and identification method. METHODS Firstly, an anisotropic diffusion filter is used to smooth(More)
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