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Key frame extraction is a crucial step in content-based video retrieval. To accurately describe character of frames, various features like color, texture, shape can be integrated and used for key frame extraction. In this paper, we proposed an improved two-phase approach of key frame extraction based on entropy and perceptual hash. It weakens the threshold's direct influence on final results, and...
This article suggests an algorithm of impulse noise filtration, based on the community detection in graphs. The image is representing as non-oriented weighted graph. Each pixel of an image is corresponding to a vertex of the graph. Community detection algorithm is running on the given graph. Assumed that communities that contain only one pixel are corresponding to noised pixels of an image. Suggested...
This paper studies various different ways of representing plant leaves in different feature space to recognize them accurately and efficiently in changing scenario and dimension. Here, leaves are represented as: (i) statistical features — relative sub-image sparse coefficient (RSSC), (ii) shape features — angle view projection (AVP), (iii) multi-resolution features — Gabor Wavelet transform combined...
Most state-of-the-art graph kernels only take local graph properties into account, i.e., the kernel is computed with regard to properties of the neighborhood of vertices or other small substructures. On the other hand, kernels that do take global graph properties into account may not scale well to large graph databases. Here we propose to start exploring the spacebetween local and global graph kernels,...
In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting of the number of fruits on a tree to accurately estimate the output of a dragon fruit. The algorithm consists of the following main steps: image segmentation,...
In the modern digital era, the storage of digital data in multi-users systems and transmission over the internet is prime important in the society. The cryptographic technique is one of the possible solutions for protecting digital information for unauthorized uses. In this technique, the encryption algorithm should be simple to design and implementation. In the proposed article, a novel color image...
Low light situations pose a significant challenge to individuals working in a variety of different fields such as firefighting, rescue, maintenance and medicine. Tools like flashlights and infrared (IR) cameras have been used to augment light in the past, but they must often be operated manually, provide a field of view that is decoupled from the operator's own view, and utilize color schemes that...
Information systems have become necessary component of the modern world. They encompass all areas of the human activities. Each area imposes its own, individual specifics, which leads to solve a number of unique problems to each of the system. Fuzzy methods allow an optimal way to overcome the difficulties that arise in any information system.
We report an experimental study that involves understanding how display (conventional or ecological) and system mode (profiting, neutral or losing) affect financial trading performance and risk preference. Twenty-four undergraduate and graduate student participants interacted with a financial trading simulator in the playback of a real market. Each participant completed a conventional display scenario...
Metaheuristic algorithms are important methods to solve many complicated optimization problems. However, there are no significant studies that present an application to analyze metaheuristic algorithms or a platform to help beginners to learn about. For this reason, we design a useful tool with a graphical user interface, EPanel, to dynamically display the process of metaheuristic algorithms. EPanel...
To establish data connection in industrial wireless networks, the engineer has to enter the address of the target machine or manually select it from a list. Since the machines are densely deployed in the plant, the manual data connection becomes a non-trivial issue which may lead to connection error and waste of time. The existing technologies, such as QR code scanning and proximity estimation, simplify...
Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. Time is wasted on potential detections that will eventually be rejected as false positives. We introduce ChromaTag, a fiducial marker and detection algorithm designed to use opponent colors to limit and quickly reject initial false detections and grayscale for precise localization. Through experiments, we...
An improved real-time method for smoke detection based on motion and color analysis is presented. Smoke detection in video surveillance is very important for early fire detection. In general, it is assumed that smoke is a low frequency signal, which may smooth the background. However, these conditions can be met by some pure-color objects, and smoke also produces high frequency signal on the edges...
Three dimensional (3D) vision applications have drawn more attention nowadays and many products are entering the mass market. View interpolation is a crucial step to generate intermediate viewpoints from reference images. However, it is still challenging to achieve good performance in both processing speed and image quality for various 3D applications. In this paper, a hardware-compatible view interpolation...
Recent studies have shown that panchromatic colour filter arrays possess better light intensity properties than the more prevalent Bayer array. This is an attractive property in integrated camera design. Demosaicking algorithms, however, focus primarily on Bayer-based cameras because of their simple demosaicking process. This paper presents a novel algorithm for use in the RGBW class of panchromatic...
The article is devoted to the development of the technical vision system, which is used to control the operation of the harvesting unit of robot for gathering berries. The authors offer technical and software solutions to simplify the maintenance of the robot. Special attention is paid to methods of recognition of wild plants under various external conditions and disturbances.
A painting robot ARTCYBE is a machine developed to imitate an ability of a human painter to create realistic images with acrylic paints and a brush. In this paper a brushstroke rendering algorithm for this robot is presented. The algorithm converts a source bitmap image into a set of brushstrokes which we call a brushstroke map. The brushstroke map can be unambiguously transformed into a list of commands...
Security is obligatory for digital world. It requires robust and reliable security mechanisms which comprises irreplaceable identification of individual. Biometrics plays an important role in recognizing individual uniquely, furthermore iris based security is more impenetrable as compared to fingerprint based security. Also, human iris doesn't change with ageing and can be easily captured. Generic...
This paper presents a text detection approach based on Stroke Width Transform (SWT) and methodology to extract letter candidates. Major application focus here is tourism industry and local transport, to help people to deal with different Indian languages which involve text associated with natural scenes in the local public places. Multilingual text system supports curvy letters with different scale,...
Face detection and tracking algorithms are used in computer vision applications due to the fact that they provide reliable and fast results. This paper describes a model for face tracking in video sequences using Open Source Computer Vision (OpenCV) software library. To increase the face tracking accuracy, we propose a real time face tracking algorithm based on integration of Continuously Adaptive...
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