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This paper examines a schema for graph-theoretic clustering using node-based resilience measures. Node-based resilience measures optimize an objective based on a critical set of nodes whose removal causes some severity of disconnection in the network. Beyond presenting a general framework for the usage of node based resilience measures for variations of clustering problems, we emphasize the unique...
Superpixel algorithm aims to semantically group neighboring pixels into a coherent region. It could significantly boost the performance of the subsequent vision processing task such as image segmentation. Recently, the work simple linear iterative clustering (SLIC) [1] has drawn huge attention for its state-of-the-art segmentation performance and high computational efficiency. However, the performance...
This paper introduces an approach to background subtraction from auto-exposure surveillance camera. The proposed method adapts the concept of codebook while the original codebook has a limitation in auto-exposure camera. These videos have light adjustment over time and it leads to brightness variation, and the variation could occur globally or locally. The proposed method uses the advantage of YCbCr...
In this paper, a region-based moving object detection based on hu moments is concerned. Firstly, the feasibility analysis of hu moments in moving object detection is performed. Then a model of hu moments in moving object detection is presented and the performances are evaluated. The experiment results show that the hu moments can eliminate the large amount of noise caused by traditional Single Gaussian...
Contrast enhancement is one of the most studied problems in image processing. A plethora of approaches has been proposed in the literature for image enhancement since the pioneer work of Kovasznay and Joseph in 1955 [1] and the famous contribution of Gabor in 1965 on image deblurring [2]. However, very few works have been dedicated to contrast enhancement evaluation. This is mainly due to the fact...
To print ceaseless tone images, Electrophotographic printers mostly use halftoning method. Scanned pictures procured from such hard transcripts are generally wrecked by screen like antiquities. Recently an approach for reviving relentless image from scanned halftone picture was accomplished. This new model considers both printing deformities and halftone motifs. At first denoising computation is proposed...
Text detection in complex real images, such as panorama images, remains great challenging in Computer Vision. A general method often focuses on the small test images with single background which makes it easier to do the detection and recognition. In this paper, we find a novel approach, as it can automatically deal with the indoor panorama images which contains distortion and illumination problems...
Diabetic retinopathy (DR), a complication due to diabetes, is the leading cause of blindness. Diagnosis of DR at its earliest is thus very necessary. In this paper, we present an automated computer aided method for detection of hemorrhages using fundus images. In the first stage, blood vessel (BV) is detected and eliminated. In the following stage hemorrhage candidate is detected. The method is applied...
We address the task of restoring RGB images taken under low illumination (e.g. night time), when an aligned near infrared (NIR or simply N) image taken under stronger NIR illumination is available. Such restoration holds the promise that algorithms designed to work under daylight conditions could be used around the clock. Increasingly, RGBN cameras are becoming available, as car cameras tend to include...
Linear transformations are widely used in the color science. Linear transformation can not ideally map the source and destination color matching functions and this issue induces some errors in the process of conversion. This error is usually deemed negligible for a noise-free system. However, in practice, imaging devices, displays, and printers employ linear transformations to move between color spaces...
RGB-D cameras have enabled real-time 3D video processing for numerous computer vision applications, especially for surveillance type applications. In this paper, we first present a real-time anti-forensic 3D object stream manipulation framework to capture and manipulate live RBG-D data streams to create realistic images/videos showing individuals performing activities they did not actually do. The...
In this paper, we present a robust and efficient approach for segmenting images with less and intuitive user interaction, particularly targeted for mobile touch screen devices. Our approach combines geodesic distance information with the flexibility of level set methods in energy minimization, leveraging the complementary strengths of each to promote accurate boundary placement and strong region connectivity...
When periodic halftoned documents (e.g., books, newspapers, and magazines) are scanned for image reproduction, moiré patterns occur. In order to avoid these moiré artifacts, it is necessary to detect the periodic halftone. This paper provides a fast Fourier transform based method to classify periodic halftoned documents. Experimental results show that the overall accuracy of this method is 97% on...
The paper addresses practical aspects of multichannel images compression. Color and multichannel images are commonly characterized by high degree of component correlation. This property can be exploited in 3D-compression techniques for achieving high compression ratio. The main goal of this paper is to show that 3D-compression on basis of discrete cosine (DCT) transform offers some advantages in comparison...
This paper presents a spatial domain image watermarking method based on regularized filter. In the proposed method, a watermark image is embedded into a host color image directly by modifying the blue color component. The watermarkmark strength is controlled by two factors, i.e. a constant value and the luminance within a local embedding area. The prediction of the original host image is obtained...
Reliable surface normal computation is fundamental for a broad range of computer vision application areas, e.g. object segmentation, classification and recognition. Naturally, the surface normal is computed on the acquired depth data, whereby the normal quality is dependent on noise performance and resolution of the underlying image modality. The tendency of combining different imaging sensors into...
Image quality assessment becomes essential for autonomous systems, where processing occurs on an acquired image and is then used for detection and recognition of objects. Images exhibiting low quality and captured in the presence of noise that are used as the basis for image recognition systems can dramatically impair the overall recognition system's performance. In this paper, we will present a new...
The damages caused by lightning on modern electrical and electronic devices that have low resistance against external noise tend to increase yearly. In recent years, though an increase in the frequency of lightning strikes due to global warming is often reported, a demonstration with credible data has not yet been performed. We have consolidated the data on the annual lightning days in each region...
This paper describes a new segmentation-based classification technique for fully polarimetric synthetic aperture radar (PolSAR) images. Based on the framework which conjunctively uses statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification, we improve the method by jointly introducing texture features and color features. For the segmentation step, to guarantee...
In this work, a wavelet-based anisotropic diffusion partial differential equation (PDE) is developed. The new model makes use of a multiscale structure tensor as an extension of the single-scale structure tensor proposed by Di Zenzo [1]. The multiscale structure tensor allows for accumulating mul-tiscale gradient information of local regions. Thus, averaging properties are maintained while preserving...
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