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This paper proposes a new similarity measure between intuitionistic fuzzy sets (IFSs) for pattern recognition based on the centroid points of transformed right-angled triangular fuzzy numbers to deal with pattern recognition problems. The proposed similarity measure between IFSs outperforms the existing similarity measures for dealing with the pattern recognition problems.
As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize...
The grammar of facade structures is often related to regularly distributed signature patterns in high-resolution synthetic aperture radar (SAR) images. Given the structural details in the SAR image, algorithms for building extraction/monitoring should exploit this contextual information for an object-based analysis. In this paper we propose a framework to extract detailed high rise building features...
State-of-the-art methods for articulated human pose estimation are based on pictorial structures model (PS). Most of these methods predict the pose directly in part-based models and only consider rigid parts guided by human anatomy. In this paper, we propose a new framework for human pose estimation which is composed of two stages: pre-estimation and estimation. The first stage includes three steps:...
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...
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
Gas insulated switchgear (GIS) is widely used in high voltage power transmission systems. Condition of GIS is crucial for the whole transmission system. PD (Partial discharge) signal, which contains information about the state of GIS, is important for GIS condition monitoring. An ultra-high frequency (UHF) PD on-site monitoring system of 10 channels, including PD detection system and supervisory system,...
Point cloud completion is an indispensible process for handling the occlusion problem occurring during the data acquisition. For completion, 3D point clouds generate a much larger searching space than 2D images while searching for the best match for boundary patches. To handle the searching speed bottleneck, this paper proposed a novel optimization algorithm which is called the 3D-PatchMatch algorithm...
Recently sparse coding have been highly successful in image classification mainly due to its capability of incorporating the sparsity of image representation. In this paper, we propose an improved sparse coding model based on linear spatial pyramid matching(SPM) and Scale Invariant Feature Transform (SIFT) descriptors. The novelty is the simultaneous non-convex and non-negative characters added to...
Feature learning plays a crucial role in the successful human action recognition. There has been a number of approaches extracting action features from depth information and 3D skeletal data. However, either the skeleton information or the depth map is not accurate for feature learning unless complex descriptors are carefully designed and embedded. In this paper, we first propose a data sparsification...
Processing surges are fast and unexpected changes in the processing demand that commonly occur in cloud computing. The cloud elasticity enables to handle processing surges, increasing and decreasing resources as required. However, a surge can be very fast, so that the overhead to provide more resource is greater than the processing benefit. On the other hand, if the surge is slow and continuous, and...
This paper presents a patch-based synthesis framework for lightfield image editing. The core of the proposed method builds upon a patch-based optimization approach. The main contribution of the paper is to extend the versatile patch-based image editing framework to 4D lightfield images and enable many editing applications for them. Specifically, the paper introduces a novel 4D lightfield patch consistency...
Currently, most of the human detection methods are based on low-level features. In this paper, we proposed a middle-level feature generation method based on non-negative matrix factorization (NMF) for human detection. We also proposed an improvement scheme to guarantee that a better middle-level feature can be achieved. The proposed scheme can be applied to a complex background and the experimental...
In this paper, we present an improved version of MOBIL descriptor [1] (Improved MOments based BInary differences for Local description), which introduces two main contributions. The first one is the use of geometric information for the binary test instead of the classical intensity binary test, to get more precision in the description step. The second one is to attribute two bits for each test, to...
Oxy-hemoglobin and deoxy-hemoglobin, main blood chromatophores flowing through the arteries and veins, respectively, reflect sunlight differently. The biggest difference is at a specific wavelength in the visible spectrum. The amount of blood in the arteries varies during cardiac activity. As a result, the skin color changes, but its limits cannot be noticed in heart cycle. The authors present an...
Leaf is one of the most important organs of plant and often used as one of the basic characters in plant classification. The developmental condition of leaf can provide us with lots of critical information, such as the plant's health condition, the prospection of crop yield and so on. Leaf image processing by computer has been widely used for the extraction and dissection of leaf images in relevant...
Local feature descriptor plays a fundamental role in many visual tasks, and its rotation invariance is a key issue for many recognition and detection problems. This paper proposes a novel rotation invariant descriptor by ordinal pyramid pooling of local Fourier transform features based on their radial gradient orientations. Since both the low-level feature and pooling strategy are rotation invariant,...
This paper deals with the performance evaluation of image segmentation. The goal of this work is to show some techniques that enable the comparison of different segmentation results. We first present a visualization method that facilitates the visual evaluation of a segmentation result. Next, we focus on unsupervised evaluation criteria that do not take into account any a priori knowledge to quantify...
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