2016 IEEE International Conference on Signal and Image Processing (ICSIP)

13-15 Aug. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): 1
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  • [Title page]

    Publication Year: 2016, Page(s): 1
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  • Table of contents

    Publication Year: 2016, Page(s):iii - xiii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): 1
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  • Author index

    Publication Year: 2016, Page(s):1 - 3
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  • Segmentation algorithm for MRI images using global entropy minimization

    Publication Year: 2016, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (578 KB) | HTML iconHTML

    Medical image processing plays an important role in supporting the diagnosis of various diseases. Brain magnetic resonance imaging (MRI) image is widely used to support the decisions from doctors who will decide if there are any issues in a brain. The essence of the MRI is segmentation which is the basic for damaged area selection, quantitative measurement and 3-dimensional reconstruction. In orde... View full abstract»

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  • Second order-based image retrieval algorithm

    Publication Year: 2016, Page(s):6 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (562 KB) | HTML iconHTML

    Under the environment of big data, retrieval becomes a crucial technology and image retrieval is paid more attention and widely used. The paper proposes a second-order retrieval algorithm, of which can be used to retrieval the similar images. Firstly, extracting image sift features. Then, build frequency table of characteristic words by k-means clustering and bag of word algorithm. Finally, based ... View full abstract»

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  • Multiple object tracking based on modified algorithm of GMMCP tracker

    Publication Year: 2016, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (735 KB) | HTML iconHTML

    We formulate multiple object tracking (MOT) as a Generalized Maximum Multi Clique problem (GMMCP) without any simplified version in problem formulation or optimization, which makes full use of image evidence. Afterwards, we solve the GMMCP through Mixed Binary-Integer Program (MBIP) and obtain the final motion trajectories of the multiple objects. In order to improve the algorithm's performance, w... View full abstract»

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  • Rice planthopper segmentation based on multi-feature fusion

    Publication Year: 2016, Page(s):16 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (399 KB) | HTML iconHTML

    Diagnosis of rice planthopper pests based on imaging technology is an efficient means to develop intelligent agriculture. Effective contour automation extraction is an important pretreatment technology at the early stage for identifying and classifying rice planthoppers. For the curtain as the background contained texture structures and resulted in a heterogeneous texture in the sensed image, whic... View full abstract»

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  • High-performance image contour delineation method based on piecewise cubic Bezier curves fitting

    Publication Year: 2016, Page(s):22 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB) | HTML iconHTML

    Digital image contour is rich in image information, many applications are based on accurate tracking of the target contour. Image contour features fuzziness and non-uniformity, so that contour extraction method based on automatic delineation can easily cause inaccurate partition, while manual partition method has poor efficiency and instantaneity. Considering accuracy and efficiency of two-dimensi... View full abstract»

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  • Removing vibration blur from a single image based on coded exposure

    Publication Year: 2016, Page(s):26 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1714 KB) | HTML iconHTML

    In the field of remote sensing, the vibration caused by satellite platform would affect the captured image quality. So the fast image restoration method is proposed in this passage. Combining the vibration detection and coded exposure, this method can remove vibration blur from a single remote sensing image. The vibration is detected by fiber-optic gyroscope, and the PSF is calculated from the vib... View full abstract»

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  • Colorful image enhancement algorithm based on guided filter and Retinex

    Publication Year: 2016, Page(s):33 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (702 KB) | HTML iconHTML

    Retinex is a theory on the human visual perception. It explains an object's color is determined by its reflectance. The classic Retinex causes the problems of halo, color distortion and noise, etc. In order to solve these problems, In this paper, we present a algorithm that combining with Nonlinear Image Enhancement and Guided Filter to estimate the reflection components under Retinex frame work. ... View full abstract»

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  • A supervised correspondence method for statistical shape model building

    Publication Year: 2016, Page(s):37 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    The construction of statistical shape model (SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical structures. Place-march of corresponding landmarks is one of the major factors influencing 3D SSM quality. In this paper, we present a supervised correspondence method for fast building SSM, which includes two main steps, i.e., surface dat... View full abstract»

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  • Fusion of infrared and visual images through multiscale hybrid unidirectional total variation

    Publication Year: 2016, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1108 KB) | HTML iconHTML

    As an important research area in image analysis and computer vision, fusion of infrared and visible images aims at delivering an effective combination of image information from different sensors. Since the final fused image is the demonstration of fusion process, it should reveal both source images' vital information distinctly. To achieve this purpose, an image fusion method based on multiscale h... View full abstract»

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  • Regression-based single image super-resolution via adaptive patches

    Publication Year: 2016, Page(s):47 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (506 KB) | HTML iconHTML

    Single image super-resolution (SR) generates a high-resolution (HR) image by estimating the mapping function between image patches of different resolutions. By leveraging the notion of regression, the mapping function estimation task is often transformed into predicting mapping function's derivatives. Although higher-orders of derivative lead to a more accurate mapping function, current algorithms... View full abstract»

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  • Fully automatic colon segmentation in computed tomography colonography

    Publication Year: 2016, Page(s):51 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1015 KB) | HTML iconHTML

    Colon cancer is the second leading cause of cancer-related death in the United States, and can be prevented by the removal of precancerous colon polyps. For colon diagnosis, computed tomography colonography (CTC) has been proposed as a minimally invasive technique, and computer aided diagnosis (CAD) systems using CTC data are a rapidly evolving tool to localize, detect, and identify colon polyps. ... View full abstract»

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  • Walking patterns of knee and ankle joints during level walking and uphill walking

    Publication Year: 2016, Page(s):56 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB) | HTML iconHTML

    The aim of this study is to evaluate the spatial-temporal patterns of the ankle joint and knee joint in healthy young individuals during level walking with different speed and during uphill walking with different grade. Ten healthy male individuals participated in this study. Individuals walked with greater maximum knee flexion and ankle flexion angles during late stance in the fast level walking.... View full abstract»

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  • Feature selection and regional labeling of significant detection for pulmonary nodules in CT images

    Publication Year: 2016, Page(s):60 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (410 KB) | HTML iconHTML

    The function of visual attention mechanism is to acquire the useful visual information at the fastest speed. The Itti visual attention model commonly used at present has achieved good effects in natural image. In order to find the region of interest as soon as possible, this paper attempts to introduce visual attention mechanism into pulmonary nodules detection. However, the Itti model is more to ... View full abstract»

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  • SIFT matching method based on K nearest neighbor support feature points

    Publication Year: 2016, Page(s):64 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (358 KB) | HTML iconHTML

    In order to reduce the image matching errors caused by many factors, the method based on k nearest neighbors support feature points was proposed. When ratio is little, get the support feature set by Scale Invariant Feature Transform and choose the k nearest neighbor (KNN) points from the set as the supporters. According to the similarity of supporters around the matching point, determining the mat... View full abstract»

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  • An improved method of nonlinear distortion correction for wide-angle lens

    Publication Year: 2016, Page(s):69 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (763 KB) | HTML iconHTML

    This paper introduces an improved method of nonlinear distortion correction for wide-angle lens. The method is to cast chessboard image to the billiard table by the projector according to the given parameters, then to extract sub-pixel corners from the chessboard image collected by camera and establish fitting relations between coordinates of camera image and that of computer screen with the binar... View full abstract»

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  • Foreground model for background subtraction with blind updating

    Publication Year: 2016, Page(s):74 - 78
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (493 KB) | HTML iconHTML

    Background subtraction is a key pre-processing step for several video automatic operations. Various techniques have been proposed to perform background subtraction automatically in complex environments. Visual background extractor (ViBe) is a popular background subtraction technique that can initialize its model in a single frame, adapt to the environment changes and achieve satisfactory subtracti... View full abstract»

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  • Object oriented classification of coastal landform based on texton theory

    Publication Year: 2016, Page(s):79 - 84
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB) | HTML iconHTML

    This paper focus on classification of coastal landform. The study area is locate in QinZhou, Guangxi Zhuang Autonomous Region, China, using GF-1 image. In view of complex coastal landform, the current study firstly transforming RGB model to CIE LAB model, dividing image based on colour gradient, then conducting Gabor filtering and PCA transformation to develop texons and generating texton histogra... View full abstract»

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  • Robust visual tracking via an online multiple instance learning algorithm based on SIFT features

    Publication Year: 2016, Page(s):85 - 89
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (506 KB) | HTML iconHTML

    This paper presented a SIFT based multiple instance learning algorithm to deal with the problem of pose variation in the tracking process. The MIL algorithm learns weak classifiers by using instances in the positive and negative bags. Then, a strong classifier is generated by powerful weak classifiers which are selected by maximizing the inner product between the classifier and the maximum likelih... View full abstract»

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  • Face recognition using extended vector quantization histogram features

    Publication Year: 2016, Page(s):90 - 95
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1042 KB) | HTML iconHTML

    Face recognition is a typical application of biometrics identification technologies, which requires specific methods to obtain face representation as its features. In this paper, we apply a simple yet highly reliable method called Vector Quantization (VQ) to extract the features. Although VQ algorithm has been proven effective, the inability of VQ histogram features to convey spatial structure inf... View full abstract»

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  • Robust multi-frame image super-resolution using anisotropic diffusion

    Publication Year: 2016, Page(s):96 - 102
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1107 KB) | HTML iconHTML

    In the last three decades there have been many multi-frame image super-resolution (SR) algorithms proposed, but there are still many problems, such as edge blurring, artifacts are existing in the final reconstructed image, and many previous algorithms are sensitive to noise. This paper reviews some typical algorithms and addresses their limitations. In this paper, we propose super-resolution with ... View full abstract»

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