In this digital world, accurate text identification and recognition has become an important key area of image document analysis and processing. Textual data, ranging from simple to complex images along with language v...
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ISBN:
(纸本)9781467378079
In this digital world, accurate text identification and recognition has become an important key area of image document analysis and processing. Textual data, ranging from simple to complex images along with language variations - mono, bi, tri or multilingual scripts, is identified and extracted. This paper is designed to focus the challenges and complex issues of text recognition in bilingual machine printed imaged documents. Major crucial factors are discovered and mentioned which become the bottlenecks in correct and accurate recognition. With this, a hierarchical structure depicting three Classification Schemes (CS) A, B and C of bilingual printed imaged document is shown, where A, B and C are related to the content form, image mining and language or script determination. Some loopholes of OCR working are also discussed. To analyze the existing algorithms and methods, a survey is presented to focus on their critical issues, proposed solutions along with constraints and errors found during text processing. It leads to find out the shortcomings and limitations of different methods. Various specifications and factors found from the techniques are also shown as their characteristics and are compared relatively to distinguish them. It is observed that most of the existing methods are based on the classification schemes CS A-Al and C-Cl and C2 and are designed for the script identification with 300 dpi gray scale image using SVM classifier.
The article describes parallel implementations of two parametric identification algorithms. The first algorithm is based on the estimation of Bravais unit cell parameters, and the second one estimates Wigner-Seitz cel...
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The article describes parallel implementations of two parametric identification algorithms. The first algorithm is based on the estimation of Bravais unit cell parameters, and the second one estimates Wigner-Seitz cell volumes. The developed parallel implementations are based on the two-tier model of concurrency. An external tier of concurrency uses Message Passing Interface (MPI) technique to distribute parametric identification tasks between computing nodes. An internal tier uses Open Multi-processing (OpenMP) technique to split single steps of the parametric identification algorithms into independent subtasks. Experimental results on multi-processor/multi-core systems have demonstrated almost linear speedup of the parallel implementations, confirmed the effectiveness of the two-tier concurrency model and proved the stability of the identification approach under lattice distortion.
The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October *** total of 98 pap...
ISBN:
(纸本)9783319271002
The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October *** total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; imageprocessing and computer vision; search and optimization; forecasting; and intelligent applications.
This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D recon...
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ISBN:
(纸本)9781509020508
This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't produce a concise sequence of distinct frames. This paper presents an approach to using both live and pre-recorded video sources with 3D Structure from Motion systems through the implementation of a pre-processor. This approach filters the video feed with the aid of the Laplacian operator and feature-based methods to create an optimal sequence for both on-line and off-line 3D reconstruction systems.
Segmentation is important to define the spatial extension of body anatomic structures (objects) in medical images for quantitative analysis. In this context, it is desirable to eliminate (at least minimize) user inter...
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ISBN:
(纸本)9781138029262
Segmentation is important to define the spatial extension of body anatomic structures (objects) in medical images for quantitative analysis. In this context, it is desirable to eliminate (at least minimize) user interaction. This aim is feasible by combining object delineation algorithms with Object Shape Models (OSMs). While the former can better capture the actual shape of the object in the image, the latter provides shape constraints to assist its location and delineation. We review two important classes of OSMs for medical image segmentation: Statistical (SOSMs) and Fuzzy (FOSMs). SOSMs rely on the image mapping onto a reference coordinate system, which indicates the probability of each voxel to be in the object (a probabilistic atlas built from a set of training images and their segmentation masks). Imperfect mappings due to shape and texture variations asks for object delineation algorithms, but the methods usually assume that the atlas is at the best position for delineation. Multiple atlases per object can mitigate the problem and a recent trend is to use each training mask as an individual atlas. By mapping them onto the coordinate system of a new image, object delineation can be accomplished by label fusion. However, the processing time for deformable registration is critical to make SOSMs suitable for large scale studies. FOSMs appear as a recent alternative to avoid reference systems (deformable registration) by translating the training masks to a common reference point for model construction. This relaxes the shape constraints, but asks for a more effective object delineation algorithm and some efficient approach for object’s location. One of the solutions, named optimum object search, translates the model inside an estimated search region in the image while a criterion function guides translation and determines the best delineated object among candidates. This makes segmentation with FOSMs considerably faster than with SOSMs, but SOSMs that adopt the o
Feature of modern infocommunication systems is expeditious exchange of information that makes a problem of ensuring quality and reliability of the obtained information actual. For elimination or minimization of the de...
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ISBN:
(纸本)9781509040490
Feature of modern infocommunication systems is expeditious exchange of information that makes a problem of ensuring quality and reliability of the obtained information actual. For elimination or minimization of the destabilizing impact of noise and hindrances in such systems various methods and algorithms of preliminary information processing are widely used, in particular, procedures of digital filtration of signals and images. Procedure of creation of the nonlinear SVD filter with adaptation to local properties of an observed signal is stated. Comparative examples of filtration of hindrances in a problem of processing of images are given, efficiency of the offered method is shown. The lines of further researches are defined.
In recent years, solar energy has become more and more popular because it is one of the renewable energy resources that are constantly replenished and will never run out. Nowadays, there are many solar panels that hav...
In recent years, solar energy has become more and more popular because it is one of the renewable energy resources that are constantly replenished and will never run out. Nowadays, there are many solar panels that have been installed on the roof of residence in Taiwan. However, it does not have many convenient, secure and affordable methods to detect the effectiveness of those roof-top photovoltaic systems. Therefore, this study not only proposes the algorithms for determining the effectiveness of solar panel by using the thermal sensor, but also constructs a system to analysis the pictures that taken from thermal sensor and report the condition of solar panel automatically. Finally, we will live in a better environment by using the solar energy and the detection system with algorithms this study proposed at same time.
This paper presents a novel local surface descriptor by encoding the neighboring points' position angles of a key point into a histogram. The generation of the feature descriptor is simple and efficient. Firstly, ...
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ISBN:
(纸本)9781538604915
This paper presents a novel local surface descriptor by encoding the neighboring points' position angles of a key point into a histogram. The generation of the feature descriptor is simple and efficient. Firstly, we construct a Local Reference Frame (LRF) by performing eigenvalue decomposition on a scatter covariance matrix. Then, the sphere support of the key point is divided into several sphere shells. In each sphere shell, we calculate the angles between a neighboring point and z-axis, x-axis respectively. Subsequently, the cosine values of these two angles are mapped into two 1D histograms respectively. Finally, all the 1D histograms are put together followed by a normalization to form the descriptor. Our proposed local surface descriptor is called Signature of Position Angles Histograms (SPAH). As for a point cloud with color information, the SPAH can easily be extended to a Color SPAH (CSPAH) descriptor only by adding one more 1D histogram generated by the color information in each sphere shell. The performance of the proposed SPAH was tested on the Bologna Dataset 1 to compare with several state-of-the-art feature descriptors. The experiment results show that our SPAH descriptor is more robust to noise and vary mesh decimations. Moreover, our SPAH and CSPAH descriptors based 3D object recognition algorithms achieved a good performance on the Bologna Dataset 3.
How to suppress and remove the speckle of SAR image has been a hot research issue. Combining the advantages of non-subsample Shearlet transform (NSST) with the generalized non-local means de-noising algorithm, we prop...
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ISBN:
(数字)9783662498316
ISBN:
(纸本)9783662498316;9783662498293
How to suppress and remove the speckle of SAR image has been a hot research issue. Combining the advantages of non-subsample Shearlet transform (NSST) with the generalized non-local means de-noising algorithm, we proposed a new SAR image de-noising algorithm in this paper. This algorithm is appropriate for the characteristics of the speckle noise, so it can improve the quality of de-noised image. Meanwhile, the algorithm holds the characteristics of translational invariance, which can suppress Gibbs phenomenon effectively.
The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been ...
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ISBN:
(纸本)9780791849682
The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been phase averaged based on the relative phase angle between the forward and aft rotors. The aft rotor phase was determined by feature tracking in raw PIV images through an imageprocessing algorithm. The effects of the aft rotor potential field on the inter-rotor flow were analyzed and shown to be in reasonably good agreement with Computational Fluid Dynamics (CFD) simulations. The aft rotor position was shown to have a significant upstream effect, with implications for front rotor interaction noise. It was found that the aft rotor had no substantial effect on the position of the forward rotor tip vortex but did have a small effect on the circulation strength of the vortex when the rotors were highly loaded.
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