Several important advances have been recently made in the design of correlation filters. Among these, the minimum average correlation energy (MACE) filter is designed to yield sharp easily distinguished correlation pe...
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ISBN:
(纸本)0819415413
Several important advances have been recently made in the design of correlation filters. Among these, the minimum average correlation energy (MACE) filter is designed to yield sharp easily distinguished correlation peaks. To achieve this, the MACE filter minimizes the energy of the correlator output. We now introduce a windowing technique to control the distribution of the energy to further improve the correlation plane structure. the windows can be used to enhance the quality of the peak and reduce sidelobes by mobilizing the energy to unimportant regions of the correlation functions. this technique is particularly well suited for 1D signal processors such as acousto-optical correlators.
Common classifier models are designed to achieve high accuracies, while often neglecting the question of interpretability. In particular, most classifiers do not allow for drawing conclusions on the structure and qual...
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We extend the input transformation approach for adapting hybrid connectionist speech recognizers to allow multiple transformations to be trained. Previous work has shown the efficacy of the linear input transformation...
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the proceedings contain 9 papers. the special focus in this conference is on Big Data Analytics in the Social and Ubiquitous Context. the topics include: Using wikipedia for cross-language named entity recognition;the...
ISBN:
(纸本)9783319290089
the proceedings contain 9 papers. the special focus in this conference is on Big Data Analytics in the Social and Ubiquitous Context. the topics include: Using wikipedia for cross-language named entity recognition;the best way to predict the future is to tweet it;a latent space analysis of editor lifecycles in wikipedia;on spatial measures of geographic relevance for geotagged social media content;formation and temporal evolution of social groups during coffee breaks;a road pavement monitoring system for anomaly detection using smart phones;mining ticketing logs for usage characterization with nonnegative matrix factorization and context-aware location prediction.
Spatial coherence in optical processing can be exploited to implement a wide variety of image processing functions. While fully coherent systems tend to receive the most attention, spatially noncoherent systems can of...
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ISBN:
(纸本)0819415413
Spatial coherence in optical processing can be exploited to implement a wide variety of image processing functions. While fully coherent systems tend to receive the most attention, spatially noncoherent systems can often provide equivalent functionality while offering significant advantages over coherent systems with regard to noise performance and system robustness. the term noncoherent includes both partially coherent and fully incoherent illumination. In addition to the noise immunity advantage, noncoherent diffraction-based processors have relaxed requirements on pupil plane spatial light modulator characteristics. In this paper we provide a discussion of the tradeoffs between coherent and noncoherent processing, taking into account the limited performance characteristics of commercially available spatial light modulators. the advantages of noncoherent processing are illustrated with numerical and experimental results corresponding to three different noncoherent architectures.
this paper presents a simplified description of coherent and noncoherent optical correlators and derives the correlator models. the advantages of the tolerances in component positioning and quality for the noncoherent...
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ISBN:
(纸本)0819415413
this paper presents a simplified description of coherent and noncoherent optical correlators and derives the correlator models. the advantages of the tolerances in component positioning and quality for the noncoherent correlator are explained in detail. Performance measures for correlator comparison are outlined and quantitative comparison data are provided. An implementation approach for bipolar noncoherent filters is introduced and promising results simulating a limited number of amplitude and phase levels are given. We will show that the performance of noncoherent and coherent correlators are comparable and thus the noncoherent correlator should be more widely used because of its implementation advantages.
Terrain-discrimination is an important component of wide-area surveillance, with applications to battlefield terrain and agricultural terrain. Recently a statistical method was proposed by Mahalanobis and Singh to des...
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ISBN:
(纸本)0819415413
Terrain-discrimination is an important component of wide-area surveillance, with applications to battlefield terrain and agricultural terrain. Recently a statistical method was proposed by Mahalanobis and Singh to design spatial filters to recognize and discriminate between various textures. We apply this technique to texture discrimination in SAR images. It is demonstrated that the technique is a viable one and its robustness for terrain discrimination in SAR imagery is shown. Spatial correlation filters are used for texture distinction. the filters are implementable as optical (or digital) correlators for fast real-time texture recognition without segmentation. the filter coefficients are determined via eigenvector analysis. Examples for airborne SAR images are given to illustrate the proposed scheme for terrain discrimination.
this paper presents a novel holistic Handwritten Farsi /Arabic Word recognition scheme in situation where we face with word rotation and scale change. Image words features are extracted by exploiting rotation and scal...
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ISBN:
(纸本)9781424410309
this paper presents a novel holistic Handwritten Farsi /Arabic Word recognition scheme in situation where we face with word rotation and scale change. Image words features are extracted by exploiting rotation and scale invariance characteristics of M-Band packet wavelet transform performed on polar transform version of images of handwritten Farsi/Arabic words. the extracted features construct a feature vector for each word image. this vector is employed in recognition phase by finding the similar words based on the least Mahalanobis distance of feature vectors. this scheme is robust against rotation and scaling. Experimental results, obtained from testing different handwritten texts with various orientations and scales, show that proposed scheme outperforms Fourier-wavelet and Zernike moments algorithms. the robustness of new scheme has been tested with images corrupted by Gaussian noise and compared with similar schemes. Experimental results show that the accuracy of our algorithm reaches 95.8 percents.
this paper investigates spectral approaches to the problem of point pattern matching. Specifically, kernel principle component analysis (kernel PCA) methods are studied and compared with Shapiro and Brady’s approach ...
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Super-pixel segmentation is widely used nowadays in image processing to enhance segmentation accuracy. A new detection model is proposed for skin texture patternrecognition of Leopard, Cheetah, and Jaguar. In this mo...
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