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	1. A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters
	HUANG Yue
	Electrics, Communication and Autocontrol Technology 10 May 2016
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	Abstract:Region of interest segmentation from large histopathology images is an actively researched area given the multitude of applications in pathological research and clinical practice. Here we propose a system to detect regions (objects) of interest in histopathology images using a supervised learning pipeline. Instead of typical k-means in well-used simple linear iterative clustering (SLIC) method, initial superpixel detection is improved by weighted k-means strategy for a better performance at adhering to the object boundary. In each superpixel, multiscale color-texture features are extracted and processed using rolling guidance filters in an effort to reduce inter-class ambiguity and intra-class variation simultaneously. Finally, after feature extraction, a support vector machine (SVM) is trained and applied to segment the testing images. We apply this method to detect pancreatic islets, and in comparison to other approaches, it shows both a dramatic improvement and accuracy compared to existing methods. We envision the system could be used for a variety of other purposes (e.g. tumor detection) in histopathology image analysis.
	TO cite this article:HUANG Yue. A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters[OL].[10 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4687168


	2. Automatic Shot Boundary Detection on Short Internet Test Suit
	Huang Yi,Zhang Honggang,Guo Jie
	Electrics, Communication and Autocontrol Technology 18 September 2014
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	Abstract:Shot boundary detection is the first step of content based video analysis. Various algorithms have been proposed to detect video shot boundaries and claimed to perform well. Some of them are good at identify abrupt shot boundaries and are easy to implement. Some are focus on the more difficult gradual shot boundaries detecting and are much more complicated. This paper employs multiple features to detect shot boundaries. First we apply histogram difference to remove the frames that are clearly not shot boundaries. For cut transition, we add flashlight detection module to remove the false detection. We take advantage of some typical features of dissolve and fade to check the candidate gradual transition section. The aim of our method is to provide a simple and fast algorithm with reasonable high performance for short internet videos. The experimental result shows that the average precision of our proposed method can reach up to 91.1%.
	TO cite this article:Huang Yi,Zhang Honggang,Guo Jie. Automatic Shot Boundary Detection on Short Internet Test Suit[OL].[18 September 2014] http://en.paper.edu.cn/en_releasepaper/content/4610144


	3. Anti-Forensics of Video Frame Deletion
	Jingxian Liu,Xiangui Kang
	Electrics, Communication and Autocontrol Technology 22 July 2014
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	Abstract: Due to the case that digtial videos can be easily altered, many video forensic techinques have been recently proposed to verify the authenticity of digital videos. Meanwhile, several anti-forensic techniques are develpoed to make the manipulations undetectable. In this paper, we analyze a typical anti-forensic technique of video frame deletion and then propose a countering anti-forensic method to detect it. Furthermore, we design an improved anti-forensic technique against the forensic investigator. The experimental results demonstrate that we can effectively detect the use of the existing anti-forensic technique, and the improved anti-forensic technique is proven to make the frame deletion undetectable.
	TO cite this article:Jingxian Liu,Xiangui Kang. Anti-Forensics of Video Frame Deletion[OL].[22 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4604313


	4. A Subpixel Precision Image Matching-Aided Navigation Method
	Leng Xuefei,Wang Bihui,Wu Songsen,Mao Xingyun
	Electrics, Communication and Autocontrol Technology 06 May 2014
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	Abstract:Image matching-aided navigation system has broad application prospects, according to its prominent advantages in autonomy and high precision. In order to meet the demands of real time and accuracy of image aided navigation system, the paper propose a subpixel precision image matching algorithm by using a method called the four-dimension real matrix. At first this paper converts the transformation of aircraft's position and attitude to transformation of two images. Then an optimal transform matrix which is called a four-dimension real matrix can be obtained by the least square algorithm to fit the two images. At last, the deviations of aircraft's position and attitude are derived according to the proposed model. Experiments have been conducted and the results show that the time consumption is within a second, translation deviations are within a pixel, and angle deviations are within a degree, which illustrates the good performance of the algorithm and the model. As a conclusion, the algorithm satisfies the requirements of real-time situation and accuracy of the image matching-aided navigation system.
	TO cite this article:Leng Xuefei,Wang Bihui,Wu Songsen, et al. A Subpixel Precision Image Matching-Aided Navigation Method[OL].[ 6 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4593897


	5. Sub-pixel Stereo Matching based on Half-phase DCT Interpolation
	Zhang Zhuoyun,Hou Chunping,Shen Lili
	Electrics, Communication and Autocontrol Technology 08 September 2010
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	Abstract:A novel stereo matching algorithm is proposed based on the sub-pixel matching scheme. Because much information of the scene is lost in the sampling grid, the disparity maps obtained by sub-pixel matching have more precise structures than those by integer-pixel matching. Sub-pixel values are essential to the performance. In order to compute the sub-pixel values as close as possible to the actual ones, we propose the half phase DCT (HPDCT) interpolation algorithm. It improves upon the DCT-based algorithm based on the characteristics of the disparity map. We also compare the HPDCT algorithm with the linear interpolation and nearest-neighbor interpolation algorithms. Both the subjective evaluation and objective index demonstrate the advantages of the proposed algorithm over integer-pixel matching and sub-pixel matching with the other two interpolation algorithms.
	TO cite this article:Zhang Zhuoyun,Hou Chunping,Shen Lili. Sub-pixel Stereo Matching based on Half-phase DCT Interpolation[OL].[ 8 September 2010] http://en.paper.edu.cn/en_releasepaper/content/4384955


	6. An Improved Face Hallucination Based PCA
	Xiaoling Wang,Ju Liu,Jianping Qiao,Jinyu Chu
	Electrics, Communication and Autocontrol Technology 21 April 2008
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	Abstract:In this paper, based on Circularly Symmetrical Gabor Transform (CSGT) and Principal Component Analysis (PCA), we propose a face hallucination approach. In this approach, all of the face images (both input face image and original training database) are transformed through CSGT at first and then local extremes criteria is utilized to extract the intrinsic features of the faces. Based on these features, we calculate Euclidean distances between the input face image and every image in the original training database, and then Euclidean distances are used as criteria to choose the reasonable training database. Once the training database is chosen, we use PCA to hallucinate the input face image as the linear combination of the chosen training images. Experimental results show that our approach can choose training database automatically according to the input face image and get high quality super-resolution image.
	TO cite this article:Xiaoling Wang,Ju Liu,Jianping Qiao, et al. An Improved Face Hallucination Based PCA[OL].[21 April 2008] http://en.paper.edu.cn/en_releasepaper/content/20681


	7. Uncoupled Fuzzy-based Geodesic Active Regions Models for Image Segmentation
	Li Canfei,Wang Yaonan
	Electrics, Communication and Autocontrol Technology 30 November 2006
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	Abstract:In this paper we present a novel Uncoupled Fuzzy-based Geodesic Active Regions (UFGAR) framework for dealing with frame partition problems in image segmentation. Like the usually Geodesic Active Regions (GAR) framework presented by N. Paragios and R. Derichhave, our framework unifies boundary and region-based information. The boundary information of the mixture model is determined using a edge detector based on the fuzzy membership functions, and the region information indicates the region intensity properties is estimated by a measure based on the fuzzy membership functions too. The defined objective function is minimized using a gradient descent method where a level set approach is used to implement the resulting PDE system. But unlike GAR, which is based on the Maximum Likelihood Principle for the observed density function image histogram using a mixture of Gaussian elements, our model is based on FCM and fuzzy membership functions. We define a novel region measure based on fuzzy membership functions to measure the property of regions. According to the motion equation, the initial curve is propagated toward the segmentation result under the influence of boundary and region-based segmentation forces, and being constrained by a regularity force. The performance of this method is demonstrated by a synthetic image, and the results of its application to brain images are presented.
	TO cite this article:Li Canfei,Wang Yaonan. Uncoupled Fuzzy-based Geodesic Active Regions Models for Image Segmentation[OL].[30 November 2006] http://en.paper.edu.cn/en_releasepaper/content/10066

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