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Total variation (TV) and non-local patch similarity have been used successfully to enhance the performance of compressive sensing (CS) approaches. However, such techniques can often remove important details in the image or introduce reconstruction artifacts. This paper presents a novel CS method, which uses an adaptive reweighted TV strategy to better preserve image edges. Our method also leverages...
Computer vision is one of the most active research fields in information technology today. Giving machines and robots the ability to see and comprehend the surrounding world at the speed of sight creates endless potential applications and opportunities. Feature detection and description algorithms can be indeed considered as the retina of the eyes of such machines and robots. However, these algorithms...
Software code clone detection techniques and tools play a major role in improving the software quality as well as saving maintenance cost and effort. Program Dependency Graph (PDG) based clone detection techniques have a key advantage over other techniques as they are capable of detecting non-contiguous code clones in addition to contiguous clones. We propose further enhancement to current state of...
Graph matching is an important problem in the field of computer vision. Graph matching problem can be represented as quadratic assignment problem. Because the problem is known to be NP-hard, optimal solution is hardly achievable so that a lot of algorithms are proposed to approximate it. Although there have been many studies about fast and accurate approximations, there have been few studies about...
Efficient solutions must be considered, in order to solve the problem of intensive computing of the image processing applications and to achieve high real-time performance. The graphics processing unit (GPU) is an effective and the most recent method used for accelerating extensive calculation algorithms to reduce the execution time by exploiting the power of parallel programming techniques and to...
Breast cancer is the most prevalent disease among women and mammography is the main test used for screening and early diagnosis. During analysis, physicians often enlarge an image to view a part in order to pick up clue and details about the disease. Interpolation is a technique used for this purpose. The interpolation has several drawbacks like producing zigzag artifacts, blurring effect and jagged...
Community detection algorithms are important for determining the character statistics of complex networks. Compared with the conventional community detection algorithms, which always focus on undirected networks, our algorithm is concentrated on directed networks such as the WeChat moments relationship network and the Sina Micro-Blog follower relationship network. To address disadvantages such as...
The computer-based cell and tissue analysis has always been an active area of healthcare informatics, but the popularity has greatly increased since the evolution of hardware. The process began about a decade ago, and since then it has become a key research area in medical informatics. Over the years various approaches were attempted by the developers, these are mostly based on the properties of the...
The goal of this research is to find a suitable edge detection algorithm with 4 bands, B1, B2, B3, and B4 of different types of satellite image. In this paper, the dataset is derived from raw satellite images, namely THEOS, of the seashore in the Samut Prakan province, a fruit garden in the Chantaburi province and river line in Ayuthaya provinces. Edge detection performance algorithms are Signal-to-Noise...
In this paper, an adaptive block partition decision methodology is presented for very large-scale integration (VLSI) implementation of object-detection for real-time ultrahigh-definition (4K2K) resolution video displaying. The proposed adaptive block partition decision algorithm includes a data controller, a gray-level generator, a subblock difference module, and an edge detector. The edge detector...
Community detection has been a hot area with the development of modern society. Many community detection algorithms have been proposed to detect communities in complex networks. But efficiency is still a great challenge for community detection algorithms. In this paper, we propose a fast community detection algorithm. Our algorithm first constructs initial communities according to the similarity between...
According to the characteristics of positive and negative edge of signed networks, a new signed networks community detection algorithm BTCN_SNCD (Signed networks Community Detection Based on the Tightness of Common Neighbors) is proposed based on the tightness of common neighbors. Firstly, in view of the shortcomings of the traditional local similarity metrics only considering the number of common...
Existing image steganographic methods lack in the complexity, which can be utilized by the radical to decode the images and neutralize the operations. Several methods have been proposed in order to combat this. Perhaps the most efficient method is Block-based Edge Adaptive based on Least-Significant-bit Matched Revisited (LSBMR) approach. It is a famous type of steganographic methods in the spatial...
Visualization, classification and precise analysis of human embryo is an important prerequisite for fertility clinic. This work reports techniques to improve recognition of embryo features such as circular shape, width of edges of the detected cells, alignment of 4-cell and 8-cell structures of the blastomere, etc leading to the goal of blastomere segmentation. Paper describes a method for the detection...
The traditional random sample consensus (RANSAC) algorithm is capable of estimating a model with fewer data points and almost unaffected by noise. There are several drawbacks of such algorithm including detection errors, unstable threshold and massive calculation. By analyzing the spatial relations of graphics pixels, a hypothetical circle is firstly formed with three hypothetical points which are...
An automatic floor plan analysis system is described which automatically extracts key geographic information from a floor plan and creates a weighted graph representation of the indoor environment. The purpose of this system is to support the Adaptive indoor Wi-Fi Positioning System (AWPS) we proposed earlier. The primary geographic information extracted includes corridor segments and their vertices,...
A persona in a social network is defined as the person's activities and attributes in a social network as seen by others. And a community in a social network is defined as a group of users in that social network which share common interests and are most likely to interact with each other in the network. For community detection, a user's persona and its connections with the other users in a network,...
Image Registration has investigated in many researches in recent years. It is an important preprocessing step in a variety of applications such as medical images, super resolution and remote sensing. Generally, dense image registration requires several transformations and deformations such as contrast changing, scaling, rotation and displacement. However, in most recent proposed methods, only some...
At present, due to advancement in communication technology and internet, people are sharing images over social networking and other sites very efficiently but it has created problems regarding copyright protection and authentication of the images. In past 10–15 years, digital watermarking has been becoming a popular solution for these problems. Besides of being popular, it creates distortions in host...
Finding of frequent sub-graphs is an important operation on graphs and it is defined as detection of all sub-graphs that appear frequently in a set of graphs. This paper proposes detection of frequent sub-community graph from n-set of community graph of villages; are useful for characterizing community graph sets, finding difference among groups of community graphs, classifying and clustering of community...
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