In this paper, we present a novel approach toward motion magnification using edge-aware filtering. Edge-aware filters have been used for applications such as image denoising, enhancement, and tone mapping. In this wor...
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Aiming at the problem of intelligent interactive 3D display image distortion, this paper designs a display computervision system based on ARM processor. The paper realizes the 3D dimensional reconstruction by means o...
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In the agronomic domain, the simplification of crop counting is a very important and fastidious step for technical institutes such as Arvalis, which has then proposed us to use imageprocessing to detect the number of...
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ISBN:
(纸本)9789728865740
In the agronomic domain, the simplification of crop counting is a very important and fastidious step for technical institutes such as Arvalis, which has then proposed us to use imageprocessing to detect the number of wheat cars in images acquired directly in a field. Texture image segmentation techniques based on feature extraction by first and higher order statistical methods have been developped for unsupervised pixel classification. The K-Means algorithm is implemented before the choice of a threshold to highlight the ears. Three methods have been tested with very heterogeneous results, except the run length technique for which the results are closed to the visual counting with an average error of 6%. Although the evaluation of the quality of the detection is visually done, automatic evaluation algorithms are currently implementing. Moreover, other statistical methods of higher order must be implemented in the future jointly with methods based on spatio-frequential transforms and specific filtering.
Edge detection is a basic content in imageprocessing andcomputervision, which is still unresolved till now. Now most of imageprocessing aim at the digital image, this paperintroduces and analyzes several typical m...
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ISBN:
(纸本)9780769539829
Edge detection is a basic content in imageprocessing andcomputervision, which is still unresolved till now. Now most of imageprocessing aim at the digital image, this paperintroduces and analyzes several typical methods of edge detection in digital image. It introduces a demonstration system of edge detection which contains image files, image edge detection. The main contribution of this paper are: Part1: Introduce the base of image edge detection. Part 2: Analyse and design the demonstration system of the Edge Detection. The main content is the introduce of the developing instrument and the detailed analysis process. Part 3: The result and prospect of the demonstration system.
Deep learning is widely used in computervision. In this study, we present a new method based on Convolutional Neural Networks (CNN) and subspace learning for face recognition under two circumstances. A very deep CNN ...
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In this paper we describe a method for integrating together cryptography and steganography through imageprocessing. In particular, we present a system able to perform steganography and cryptography at the same time u...
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In this paper we describe a method for integrating together cryptography and steganography through imageprocessing. In particular, we present a system able to perform steganography and cryptography at the same time using images as cover objects for steganography and as keys for cryptography. We will show such system is an effective steganographic one (making a comparison with the well known F5 algorithm) and is also a theoretically unbreakable cryptographic one (demonstrating its equivalence to the Vernam Cipher).
A new algorithm is proposed for acquiring, processing, analyzing and understanding big image sets using hand gestures. This is based on computervision through wireless sensing high imagers' techniques. This appli...
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ISBN:
(纸本)9781509047246
A new algorithm is proposed for acquiring, processing, analyzing and understanding big image sets using hand gestures. This is based on computervision through wireless sensing high imagers' techniques. This application is an image Viewer. Unlike other image viewers application it also have those similar functions (e.g Next, Previous, Zoom IN, Zoom Out), but the specialty of this application is those functions could be control by using simple hand gestures. Here we are going to describe how it's worked as. This application is developed in C++ & OpenCV in Ubuntu 14.04 version.
Saliency detection becomes a crucial requirement for numerous computer vison application. Conventional manifold ranking models have been widely used for saliency detection because it can measure similarity efficiently...
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Project schedule lag is a problem often faced in engineering projects, and it is also an important reason for project cost overruns. It is of great significance to study the identification method of construction proje...
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This paper presents a classification scheme for interstitial lung disease (ILD) pattern using patch-based approach and artificial neural network (ANN) classifier. A new feature descriptor, Multi-Scale Directional Mask...
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