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[PDF] Top 20 USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

Has 10000 "USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION" found on our website. Below are the top 20 most common "USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION".

USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

USING MORPHLET-BASED IMAGE REPRESENTATION FOR OBJECT DETECTION

... selective object detection in an image is getting an increasing ...Such detection is highly demanded for optimization of recognition algorithms based on Deep Learning, which provides ... See full document

4

Comparison of support vector machine and object based classification methods for coastline detection

Comparison of support vector machine and object based classification methods for coastline detection

... a) Object based image analysis is a useful technique to classify remote sensing imagery especially with very high resolution ...of object-oriented image analysis are segments, so-called ... See full document

3

Event Detection at Vehicle Location Points using Spatial Time Invariant Model

Event Detection at Vehicle Location Points using Spatial Time Invariant Model

... in image analysis and computer vision over many ...model based vehicle localization and ...model based on simple object recognition and localization of road vehicles using the position ... See full document

6

Color Features Integrated with Line Detection for Object Extraction and Recognition in Traffic Images Retrieval

Color Features Integrated with Line Detection for Object Extraction and Recognition in Traffic Images Retrieval

... simple object extraction and recognition method with efficient searching for identifying and extracting the objects in a complex scene based on the color features has been proposed and ...semantic ... See full document

7

Object-based change detection using semivariogram indices derived from NDVI images: The environmental disaster in Mariana, Brazil

Object-based change detection using semivariogram indices derived from NDVI images: The environmental disaster in Mariana, Brazil

... failure using an object-based ...detected using only textural features calculated from semivariograms derived from NDVI ...values. Using semivariograms as the main geostatistical tool ... See full document

11

Moment feature based fast feature extraction algorithm for moving object detection using aerial images.

Moment feature based fast feature extraction algorithm for moving object detection using aerial images.

... extraction using aerial images has increased with the develop- ment of aerial image-based moving object detection in the computer vision research ...moving object extraction from ... See full document

11

Method for 3D Image Representation with Reducing the Number of Frames based on Characteristics of Human Eyes

Method for 3D Image Representation with Reducing the Number of Frames based on Characteristics of Human Eyes

... time representation, therefore, is not easy for volume rendering even for grid computing is ...3D representation with volume ...by using afterimage ...3D object image ... See full document

6

Affine image registration using genetic algorithms and evolutionary strategies

Affine image registration using genetic algorithms and evolutionary strategies

... feature detection step of the IR pipeline has been solved ...the representation, the operators, and the objective function that were used in this study are ... See full document

117

Holographic representation: Hologram plane vs. object plane

Holographic representation: Hologram plane vs. object plane

... fringes using a camera, which was then modulated into a TV signal and transmitted to the ...2D image compression directly to the ...holography using several lossless compression algorithms ... See full document

14

Activity and consciousness

Activity and consciousness

... There have been many attempts to overcome the theoretical difficulties created by the postulate of immediacy underlying the approach we have just mentioned. For example, it is stressed that the effects of external ... See full document

25

A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER

A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER

... defined using image segmentation ...imagery using per-field category which are also known as object-based or object-oriented image analysis methods (Benz et ...In ... See full document

6

Disease Detection of Cotton Leaves Using Advanced Image Processing

Disease Detection of Cotton Leaves Using Advanced Image Processing

... A back propagation neural network is used as the classifier here. To complete the task of leaf recognition and classification, the multi-layered feed forward network is used with nonlinear sigmoid function [14][15]. ... See full document

7

Prediction Based Object Recovery Using Sequential Monte Carlo Method

Prediction Based Object Recovery Using Sequential Monte Carlo Method

... A Wireless sensor network (WSN) built with large number of autonomous and compact devices that are capable of both sensing and communication, whose increasing availabilities are driven by advances in micro ... See full document

8

A Microcontroller Based Car-Safety System Implementing Drowsiness Detection And Vehicle-Vehicle Distance Detection In Parallel.

A Microcontroller Based Car-Safety System Implementing Drowsiness Detection And Vehicle-Vehicle Distance Detection In Parallel.

... Driver drowsiness resulting in reduced vehicle control is one of the major causes of road accidents. Driving performance deteriorates with increased drowsiness with resulting crashes constituting 20%-23% of all vehicle ... See full document

3

Content Based Image Retrieval by Multi Features using Image Blocks

Content Based Image Retrieval by Multi Features using Image Blocks

... content-based image retrieval system can be described by the figure 1 here the visual contents of the images in the database are described and extracted by multi-dimensional feature ...query image ... See full document

5

IMPROVEMENT AND EXTENSION OF SHAPE EVALUATION CRITERIA IN MULTI-SCALE IMAGE SEGMENTATION

IMPROVEMENT AND EXTENSION OF SHAPE EVALUATION CRITERIA IN MULTI-SCALE IMAGE SEGMENTATION

... multi-scale image segmentation is getting a particular interest and practically being used for object-based image ...multi-scale image segmentation, especially, in improving the ... See full document

7

Atmega 328 Based Menu Ordering System Using Zigbee

Atmega 328 Based Menu Ordering System Using Zigbee

... Receiver unit simply consist of Zigbee receiver unit and a P.C. unit. Commands send by zigbee transmitter are received at this end and are displayed on p.c screen .Conformation message is send by using keyboard ... See full document

2

STREET REGION DETECTION FROM NORMALIZED DIGITAL SURFACE MODEL AND LASER DATA INTENSITY IMAGE

STREET REGION DETECTION FROM NORMALIZED DIGITAL SURFACE MODEL AND LASER DATA INTENSITY IMAGE

... The urban road network extraction process can be simplified by firstly detecting regions corresponding to streets, allowing a substantial reduction of the search area. As a result, the extraction process is benefited in ... See full document

6

Encryption Image Using Small Order Linear Systems and Repeated Modular Numbers

Encryption Image Using Small Order Linear Systems and Repeated Modular Numbers

... rearrangement image are very obligated for protection, compression, saving, gaming, and testing of ...digital image encryption is proposed based on the solution of low order linear systems and ... See full document

6

Multi Object Tracking Using Feature Selection Based Particle Swarm Optimization

Multi Object Tracking Using Feature Selection Based Particle Swarm Optimization

... As there are too many vehicles in the intersection, observing the road for a long time and then directly reconstructing the background image are impossible. Therefore, this article analyses the characteristics of ... See full document

6

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