[PDF] Top 20 A High Performance SURF Image Feature Detecting System Based on ZYNQ
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A High Performance SURF Image Feature Detecting System Based on ZYNQ
... Integral Image Buffer Module traverses the integral image through the sliding ...integral image with box filters, and it would generate 8 hessian matrices for 8 different scales, then calculating the ... See full document
6
Detection of moving objects in image plane for robot navigation using monocular vision
... the image patches will be chan- ...the image patches are recovered. Instead of detecting corner features, some works [7,8] detect the features by using the scale-invariant feature transform ... See full document
22
An FLIR Video Surveillance System to Avoid Bridge-Ship Collision
... surveillance system for bridge-ship collision avoidance by using the multi-scale fractal feature, by which moving ships has successfully been separated from the complex background in inland waterway ... See full document
5
A Comprehensive Survey On Various Semantic Based Video/Image Retrieval Techniques
... data based learning and neighborhood nonnegative deficient ...information feature space, and sketches the regularization of label consistency period to well-study the description of ...(SAR) image ... See full document
12
USING AN ANT COLONY OPTIMIZATION ALGORITHM FOR IMAGE EDGE DETECTION AS A THRESHOLD SEGMENTATION FOR OCR SYSTEM
... detection system in the FPGA platform. This system is based on two algorithms, an image processing algorithm that combines an algorithm for detecting areas of interest through the ... See full document
10
An Efficient Image Retrieval System Using Surf Feature Extraction and Visual Word Grouping Technique
... very high resolution (VHR) for remote sensing images which cover a wide range of ...low-level image features have been proven to be efficient for scene classification, they are not semantically useful and ... See full document
7
Feature-Based Image Comparison for Semantic Neighbor Selection in Resource-Constrained Visual Sensor Networks
... the feature-based image comparison methods for Visual Sensor Networks where the resources are ...Four image feature detectors, Harris detector, the improved DWT-based corner ... See full document
11
An Improved Biometric Fusion System Based on Fingerprint and Face using Optimized Artificial Neural Network
... fusion system (IBFS) that integrates fingerprint and face as a ...Recognition System (IFPRS) and Improved Face Recognition System (IFRS), are introduced ...an image quality enhancement ... See full document
8
Content Based Image Retrieval with SURF, SVM and BAYESIAN
... Multiclass Image Annotation) 2005This paper proposes using one-class, two-class, and multiclass SVMs to annotate images for supporting keyword retrieval of ...some high-level semantic labels ... See full document
8
Wavelete Based Texture Feature For Content Based Image Retrieval
... Content-based image retrieval system was introduced to handle the issues related to text-based image ...content-based image retrieval over text-based retrieval. ... See full document
6
High Performance Security System For Image In IoT
... an image transform into cipher code using the random keys, which allow users to have privacy and security in channeling of the image based data as well as in storage in the data warehouse This work ... See full document
7
A Survey on Detecting Brain Tumorinmri Images Using Image Processing Techniques
... used. Performance of the MC-SVM classifier is compared with different kernel ...and performance measures like classification accuracy, it is inferred that the brain MRI classification is best done using MC- ... See full document
7
Design and Implementation of Embedded Audio System based on Zynq SOC
... audio system and many solutions are available, but this paper gives a unique solution by using SOC-FPGA ...audio system. This audio system was implemented by combining the processing system ... See full document
5
Content based Image Retrieval System with Hybrid Feature Set and Recently Retrieved Image Library
... edge image because they are marked as “certain edges” and weak edges are included only if they get connected to strong ...segmented image. Hence the edges of the segmented image are tracked and then ... See full document
10
Fall Detection Application on an ARM and FPGA Heterogeneous Computing Platform
... Cécile Belleudy joined the Electronics, Antennas, Telecommunications Laboratory (LEAT) in the University of Nice Sophia Antipolis as an assistant professor. Her current work focuses on studying and developing low power ... See full document
9
Design and Implementation of Zynq Based Reconfigurable System for Jpeg 2000 Compression
... efficient Zynq-based self-reconfigurable system to perform jpeg 2000 compression, due to more complexity of jpeg 2000, hardware implementation on reconfigurable hardware fabric is ...embedded ... See full document
8
Infrared with Visual Image Fusion Based on Two Scale Decomposition and Sturdy Guided Filtering Technique
... with high contrast about the captured sight compared to the visual ...visual image has a lot of high-frequency details but has a bad target contrast specifically under bad luminance ...IR ... See full document
7
Large-scale tissue histopathology image segmentation based on feature pyramid
... varied feature description from these images. Xu et al. [10] studied the image abstraction provided by Ima- geNet in different responses of CNN hidden layer, transferred these features to histopathological ... See full document
9
INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... figure based on chaos was suggested in 1990 and chaos entered the ...the system of standard chaos are based on continuous systems and distinctive features since 2000, the chaos emerged as a protected ... See full document
13
Transfer learning for detecting unknown network attacks
... Network attacks are serious concerns in today’s increasingly interconnected society. Recent studies have applied conventional machine learning to network attack detection by learning the patterns of the network behaviors ... See full document
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