Object counting has been used in many areas such as medical and industrial applications. It is a challenging problem to count the target objects in high speed. It is useful to implement imageprocessing applications u...
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ISBN:
(纸本)9789944898188
Object counting has been used in many areas such as medical and industrial applications. It is a challenging problem to count the target objects in high speed. It is useful to implement imageprocessing applications using the high capability computational power offered by Cellular Neural Network type analog processor named as ACE16k. In this paper, we implement an efficient object counting algorithm working on ACE16k chip. Our results have proved that the proposed algorithm can count objects on a given image rapidly and accurately.
this paper presents a new face classification technique based on Gabor wavelets and Random Forest. Random Forest is a tree based classifier that consists of many decision trees. Each tree gives a classification and th...
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ISBN:
(纸本)9781424442119
this paper presents a new face classification technique based on Gabor wavelets and Random Forest. Random Forest is a tree based classifier that consists of many decision trees. Each tree gives a classification and the output is the aggregate of these classifications. the proposed algorithm first extracts features from the face images using Gabor wavelet transform and then uses the Random Forest algorithm to classify the images based on the extracted features. But Gabor wavelet transform leads to high feature dimensions which increases the cost of computation. the proposed algorithm uses a Random Forest which selects a small set of most discriminant Gabor wavelet features. Only this small set of features is now used to classify the images resulting in a fast face recognition technique.
this PDF file contains the front matter associated with SPIE Proceedings Volume 7496, including the Title Page, Copyright information, Table of Contents, and the conference Committee listing. 69; 2009 Copyright SPI...
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In this paper, we apply the Compute Unified Device Architecture (CUDA) to the 3D cone-beam CT reconstruction using Simultaneous Algebraic Reconstruction Technique (SART). Withthe hardware acceleration, the computatio...
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ISBN:
(纸本)9780769537894
In this paper, we apply the Compute Unified Device Architecture (CUDA) to the 3D cone-beam CT reconstruction using Simultaneous Algebraic Reconstruction Technique (SART). Withthe hardware acceleration, the computationally complex SART can run at speed comparable to the commonly used Filtered Back-Projection, and provide even better quality volume with less samples. the main contributions include two novel techniques to accelerate the reconstruction. We introduce a ray-driven projection along with hardware built-in trilinear interpolation, as well as a voxel-driven back-projection that can avoid redundant computation by combining CUDA shared memory. Significant performance boost is reported front experiments using our techniques. A real-time reconstruction is achieved within 3 seconds for a 128(3) volume from 80 128(2) projections, without compromising image quality. Our proposed method realizes the instantaneous presentation of CT volume to the physician once projection images are acquired.
Land surface temperature (LST) have been widely used for environmental studies and urban heat island (UHI), using satellite derived images. LST retrieval from satellite images has many advantages for research as compa...
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ISBN:
(纸本)9780769537894
Land surface temperature (LST) have been widely used for environmental studies and urban heat island (UHI), using satellite derived images. LST retrieval from satellite images has many advantages for research as compared with in-situ measurement of air temperatures. For example, it will help to reduce the time consuming, more coverage of the study area withthe high spatial resolution, etc. the objective of our study is to retrieve the LST over Penang Island and compare the trend and average value of LST within different types of (land use or land cover) LULC changes in single satellite image, LST was retrieved by ATCOR3_T using PCI Geomatica 10.1 imageprocessing software. the supervised classification was chosen to classified LULC changes over Penang Island. From the result obtained from different classification method, maximum likelihood classification showed the most accurate result compared with minimum distance-to-mean and parallelepiped methods. the urban areas with high density resulted shown the highest LST between different LULC changes. these changes in LULC yield the significant difference in LST between urban and rural area. therefore, LST proved to be a good and effective tool to predict the impact of LST to different LULC Besides, the relationship between LST and NDVI also been investigated for different LULC changes in this study. the strong negative and positive correlation was observed between LST and NDVI for different LULC changes.
this paper addresses the problem of visual target tracking by use of robust primitives. More precisely, we evaluate the use of color segments features in a matching procedure and compare the dichromatic color lines (G...
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ISBN:
(纸本)9789896740009
this paper addresses the problem of visual target tracking by use of robust primitives. More precisely, we evaluate the use of color segments features in a matching procedure and compare the dichromatic color lines (Gouiffes and Zavidovique, 2008) withthe existing ones, defined in the HSV color space. the motion parameters of the target to track are computed through a voting strategy, where each pair of color segments votes first for one new location, then for two scale changes. their vote is weighted according to the pairing relevancy and to their location in the bounding box of the tracked object. the comparison is made in terms of robustness to color illumination changes and in terms of quality (robustness of the location of the target during the time). Experiments are carried out on pedestrian and car image sequences. Finally, the dichromatic lines provide a better robustness to appearance changes with fewer primitives. It finally results in a better quality of the tracking.
Corner detection is a main concern in many computervision applications like object recognition or image matching. Furthermore, detection is usually performed over the contour of the objects. this paper presents a nov...
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Industrial equipments that employ element identification tend to be expensive as they utilize built-in spectroscopes and computers for post processing. In this paper we present an in situ fully automatic method for de...
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ISBN:
(纸本)9781424442119
Industrial equipments that employ element identification tend to be expensive as they utilize built-in spectroscopes and computers for post processing. In this paper we present an in situ fully automatic method for detecting constituent elements in a sample specimen using computervision and machine learning techniques on Laser Induced Breakdown Spectroscopy (LIBS) spectra. this enables the development of a compact and portable spectrometer on a high resolution video camera. In the traditional classification problem, classes are mutually exclusive by definition. However, in spectral analysis a spectrum could contain emissions from multiple elements such that the disjointness of the labels is no longer valid. We cast the metal detection problem as a multi-label classification and enable detection of elemental composition of the specimen. Here, we apply both Support Vector Machine (SVM) and Artificial Neural Networks (ANN) to multiple metal classification and compare the performance with a simple template matching technique. Both machine learning approaches yield correct identification of metals to an accuracy of 99%. Our method is useful in instances where accurate elemental analysis is not required but rather a qualitative analysis. Experiments on the simulation data show that our method is suitable for LIBS metal detection.
the present work describes a set of algorithms for the milling of sculpted surfaces acquired from laser scanning systems. the milling operations cover three operations: roughing, semi-finishing and finishing. the deve...
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ISBN:
(纸本)9781424446483
the present work describes a set of algorithms for the milling of sculpted surfaces acquired from laser scanning systems. the milling operations cover three operations: roughing, semi-finishing and finishing. the developed algorithms use techniques ranging from computervision to computergraphics following a different approach when compared withthe usual milling techniques, usually feature based. the implementation of 3D path simulator was also described and testing of the different milling trajectories presented.
A calendar of events related to information technology including CHINZ 2009: the 10th annual conference on the New Zealand ACM Special Interest Group on human-computer interaction, CITA 2009: 6th international confere...
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A calendar of events related to information technology including CHINZ 2009: the 10th annual conference on the New Zealand ACM Special Interest Group on human-computer interaction, CITA 2009: 6th international conference on information technology in Asia and VIIP 2009: the 9th IASTED international conference on visualization, imaging and imageprocessing is presented.
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