• No results found

information fusion based method

Reliability Information Fusion Method Based on Evidence Theory

Reliability Information Fusion Method Based on Evidence Theory

... to information fusion ...reliability information, there are not an effective way in reliability ...new method which can incorporate different type reliability information, such as ...

5

Analysis of the Conditions of Luzhou Flavor Liquor Based on Information Fusion

Analysis of the Conditions of Luzhou Flavor Liquor Based on Information Fusion

... The fermentation process of Luzhou-flavor liquor is almost uncontrollable, and at the same time, in his production process, the fermentation method is utilized. Therefore, eel conditions are an important reference ...

9

An Indoor Pedestrian Localization Algorithm Based on Multi Sensor Information Fusion

An Indoor Pedestrian Localization Algorithm Based on Multi Sensor Information Fusion

... position information, error will accumulate over time, it is necessary to provide absolute position information to correct the error ...location information without adding additional hardware, ...

14

A New Pulse Coupled Neural Network (PCNN) for Brain Medical Image Fusion Empowered by Shuffled Frog Leaping Algorithm.

A New Pulse Coupled Neural Network (PCNN) for Brain Medical Image Fusion Empowered by Shuffled Frog Leaping Algorithm.

... a fusion method based on a supervised dictionary learning ...gradient information was first obtained for every patch in the training ...the information content and edge strength was ...

12

Research on Robot Navigation Based on Multi data Fusion using Bayesian Model

Research on Robot Navigation Based on Multi data Fusion using Bayesian Model

... data fusion, which is a common method for multi sensor high level information fusion in a static ...sensor information is combined with the principle of probability, the measurement ...

5

Information fusion of ITS based on granular computing

Information fusion of ITS based on granular computing

... Quotient space theory and rough set theory are granular computing models, and are discussed in the framework of set theory. They regard the granularity as a subset of the problem domain. They are not mutually exclusive, ...

7

Denoising of Images Using a Hybrid Image Fusion Algorithm

Denoising of Images Using a Hybrid Image Fusion Algorithm

... proposed based on some denoising filters accompanied by an hybrid image fusion ...Basically, fusion techniques includes the combination of similar type of images to produce a resultant ...used ...

6

Path planning of mobile robot based on multi sensor information fusion

Path planning of mobile robot based on multi sensor information fusion

... field method is not only a path planning, but also a field generated by the control vector of the ...field method is to be attracted by the target and rejected by the detected obstacles at the same ...

8

A New Information Fusion Method for Bimodal Robotic Emotion Recognition

A New Information Fusion Method for Bimodal Robotic Emotion Recognition

... than using only a single modality. De Silva et al. [7] proposed to process audio and visual data separately. They have shown that some emotional states are visual dominant and some are audio dominant. They exploited this ...

9

The Temperature Field Measurement of Billet Based on Multi Information Fusion

The Temperature Field Measurement of Billet Based on Multi Information Fusion

... filtering method can effectively reduce or eliminate the impact of scales on the temperature measure- ment and keep the measured surface temperature fluctuation within the range of ...measurement method which ...

5

Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information.

Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information.

... novel method to integrate location information with the state-of-the-art patch-based neural networks for brain tumor ...XGBoost fusion in the proposed two-level ensemble ...location ...

15

Application of Statical Image Fusion in Medic...

Application of Statical Image Fusion in Medic...

... image fusion has been a popular research topic since last two ...image fusion means the matching and fusion between two or more images of the same lesion area taken from different medical imaging ...

5

Method for Image Restoration using Wavelet based Image Fusion

Method for Image Restoration using Wavelet based Image Fusion

... for removing motion blur such as iterative method. However, their computational complexity such as regularized iteration is so high that they can hardly be implemented in real-time [1] .If shutter speed is ...

6

Identification and location of grapevine sucker based on information fusion of 2D laser scanner and machine vision

Identification and location of grapevine sucker based on information fusion of 2D laser scanner and machine vision

... In order to find a more effective method for sucker removal, many chemical control methods have been researched in the past decades. 1-naphthaleneacetic acid (NAA) [3] and Paclobutrazol [4] have been proven to be ...

10

Hybrid PCA-DCT Based Image Fusion For Medical Images

Hybrid PCA-DCT Based Image Fusion For Medical Images

... image fusion is to merge relevant information from different images into a single composite ...Methods based on DCT for image fusion are more time-saving in real-time mechanisms by applying ...

7

Preceding Vehicle Detection Method Based on Visual Fusion

Preceding Vehicle Detection Method Based on Visual Fusion

... the method of visual fusion. The method need to obtain the foreground information by using the left and right cameras and through the SSD algorithm to obtain a potential area of the ...depth ...

9

Ammunition Consumption Prediction Method Based on Data Fusion

Ammunition Consumption Prediction Method Based on Data Fusion

... missions, based on the degree of target damage. Most of them are based on the macroscopic damage effect, and there are few uncertain microscopic factors that influence the damage effect of ammunition ...

9

Data Fusion Method Based on Adaptive Kalman Filtering

Data Fusion Method Based on Adaptive Kalman Filtering

... data fusion as “combination of multiple sources to obtain improved information; in this context, improved information means less expensive, higher quality, or more relevant ...data fusion ...

9

Fusion of Infrared and Visible Images based on NSCT and Modified PCNN

Fusion of Infrared and Visible Images based on NSCT and Modified PCNN

... multi-source fusion images, this paper introduces a fusion method of infrared and visible images based on the combination of the non-subsampled contourlet transform (NSCT) and the improved ...

8

Multi-evidence and multi-modal fusion network for ground-based cloud recognition

Multi-evidence and multi-modal fusion network for ground-based cloud recognition

... is based on the Kullback–Leibler divergence between LBP histograms of the original and resized ground-based cloud images to select the optimal resolution of the resized cloud ...tensor fusion network ...

20

Show all 10000 documents...

Related subjects