Digital map processing has been an interest in the imageprocessing and patternrecognition community since the early 80s. With the exponential growth of available map scans in the archives and on the internet, a vari...
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ISBN:
(纸本)9789811048593;9789811048586
Digital map processing has been an interest in the imageprocessing and patternrecognition community since the early 80s. With the exponential growth of available map scans in the archives and on the internet, a variety of disciplines in the natural and social sciences grow interests in using historical maps as a primary source of geographical and political information in their studies. Today, many organizations such as the United states Geological Survey, David Rumsey Map Collection, ***, and National Library of Scotland, store numerous historical maps in either paper or scanned format. Only a small portion of these historical maps is georeferenced, and even fewer of them have machine-readable content or comprehensive metadata. The lack of a searchable textual content including the spatial and temporal information prevents researchers from efficiently finding relevant maps for their research and using the map content in their studies. These challenges present a tremendous collaboration opportunity for the imageprocessing and patternrecognition community to build advance map processing technologies for transforming the natural and social science studies that use historical maps. This paper presents the potentials of using historical maps in scientific research, describes the current trends and challenges in extracting and recognizing text content from historical maps, and discusses the future outlook.
Proceedings of the 2019 internationalconference on imageprocessing, Computer Vision, and patternrecognition (IPCV'19) held July 29th - August1st, 2019 in Las Vegas, Nevada.
Proceedings of the 2019 internationalconference on imageprocessing, Computer Vision, and patternrecognition (IPCV'19) held July 29th - August1st, 2019 in Las Vegas, Nevada.
Skin diseases are very common and the diagnosis is tricky and challenging. Latest research in the field of medicine along with the help of advanced technology has proved to be quite useful not only in diagnosis but al...
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This paper advances an integrated learning and evolutionary computation methodology for approaching the task of learning the face space. The methodology is gear-ed to provide a framework whereby enhanced and robust fa...
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ISBN:
(纸本)0769507514
This paper advances an integrated learning and evolutionary computation methodology for approaching the task of learning the face space. The methodology is gear-ed to provide a framework whereby enhanced and robust face coding and classification schemes can be derived and evaluated using both machine and human benchmark studies. In particular we rake an interdisciplinary approach, drawing from the accumulated and vast knowledge of both the computer vision and psychology communities, and describe how evolutionary computation and statistical learning can engage in mutually beneficial relationships in order to define an exemplar (Absolute)-Based Coding (ABC) multidimensional face space representation for successfully coping with changing population (face) types, and to level-age past experience for incremental face space definition.
Microbes are tiny living organisms beyond the scope to be seen by the naked eye that are coexisting all around the biosphere along with other animals. Significant identification of the microbes from the elementary for...
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Two efficient edge-detecting operators are introduced. They are both based on templates derived from a 3 x 3 magic square, one operator can obtain edge grodient map with more continuous histogram, and the other can de...
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ISBN:
(纸本)9781424410651
Two efficient edge-detecting operators are introduced. They are both based on templates derived from a 3 x 3 magic square, one operator can obtain edge grodient map with more continuous histogram, and the other can detect different edge directions efficiently. Experiments implemented based on the fainous standard image Lena have shown the validity of the two approaches. This paper not only presents two efficient approaches for edge detection, but also enlightens new methodology for imageprocessing research based on magic squares.
Object detection and localization is a challenging task. Among several approaches, more recently hierarchical methods of feature-based object recognition have been developed and demonstrated high-end performance measu...
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ISBN:
(纸本)9789898425980
Object detection and localization is a challenging task. Among several approaches, more recently hierarchical methods of feature-based object recognition have been developed and demonstrated high-end performance measures. Inspired by the knowledge about the architecture and function of the primate visual system, the computational HMAX model has been proposed. At the same time robust visual object recognition was proposed using feature distributions, e.g. histograms of oriented gradients (HOGs). Since both models build upon an edge representation of the input image, the question arises, whether one kind of approach might be superior to the other. Introducing a new biologically inspired attention steered processing framework, we demonstrate that the combination of both approaches gains the best results.
This paper deals with the relationship between spectral analysis in min-max algebra and ultrametric morphological operators. Indeed, morphological semigroups in ultrametric spaces are essentially based on that algebra...
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ISBN:
(纸本)9783030766566;9783030766573
This paper deals with the relationship between spectral analysis in min-max algebra and ultrametric morphological operators. Indeed, morphological semigroups in ultrametric spaces are essentially based on that algebra. Theory of eigenfunctionals in min-max analysis is revisited, including classical applications (preference analysis, percolation and hierarchical segmentation). Ultrametric distance is the fix point functional in min-max analysis and from this result, we prove that the ultrametric distance is the key ingredient to easily define the eigenfunctions of ultrametric morphological openings and closings.
The proceedings contain 49 papers. The special focus in this conference is on machinelearning and Information processing. The topics include: Virtual conversation with real-time prediction of body moments/gestures on...
ISBN:
(纸本)9789811518836
The proceedings contain 49 papers. The special focus in this conference is on machinelearning and Information processing. The topics include: Virtual conversation with real-time prediction of body moments/gestures on video streaming data;automatic diagnosis of attention deficit/hyperactivity disorder;classification of types of automobile fractures using convolutional neural networks;a subjectivity detection-based approach to sentiment analysis;imageprocessing and machinelearning techniques to detect and classify paddy leaf diseases: A review;a comparative study of classifiers for extractive text summarization;capabilities of chatbots and its performance enhancements in machinelearning;a deep learning-based approach for predicting the outcome of H-1B visa application;data leakage detection and prevention: Review and research directions;stress detection in speech signal using machinelearning and AI;a blockchain based model to eliminate drug counterfeiting;a comparative analysis of predictive modeling techniques: A case study of device failure;Python and OpenCV in automation of live surveillance;Privacy preservation in ROI of medical images using LSB manipulation;novel approach for measuring nutrition values using smartphone;detection of hate speech in hinglish language;enhancing multi-level cache performance using dynamic R-F characteristics;denoising documents using imageprocessing for digital restoration;humming-Based song recognition;a new data structure for representation of relational databases for application in the normalization process;e-Classroom Using IOT to revolutionize the classical way of knowledge sharing;real drowsiness detection using viola–jones algorithm in tensorflow;smart sound system controller for restricted zones;predictive analysis of co-seismic rock fall hazard in hualien county Taiwan.
strand proposed a distance-based sequential thinning algorithm for producing surface skeletons of binary objects sampled on the face-centered cubic (FCC) grid. In this paper, we present two modified versions of his al...
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ISBN:
(纸本)9783030766566;9783030766573
strand proposed a distance-based sequential thinning algorithm for producing surface skeletons of binary objects sampled on the face-centered cubic (FCC) grid. In this paper, we present two modified versions of his algorithm, which are faster and - according to our experiments - less sensitive to the visiting order of border points in the sequential thinning phase.
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