搜索结果: 1-7 共查到“信息与通信工程 Fuzzy”相关记录7条 . 查询时间(0.038 秒)
A Fuzzy-based Method for Remote Sensing Image Contrast Enhancement
Image Processing Colour Interpretation Fuzzy Logic
2015/12/3
Many conventional contrast enhancement techniques adopt a global approach to enhance all the brightness level of the image. However, it is usually difficult to enhance all land cover classes appearing...
OBJECT EXTRACTION AND RECOGNITION FROM LIDAR DATA BASED ON FUZZY REASONING AND INFORMATION FUSION TECHNIQUES
3D Objects Extraction Recognition Fuzzy logic LIDAR Region growing
2015/7/30
Three dimensional object extraction and recognition (OER) from LIDAR data has been an area of major interest in photogrammetry
for quite a long time. However, most of the existing methods for automa...
针对现有背景抑制算法未能有效抑制背景而导致目标检测率低的问题，提出了一种基于模糊自适应共振理论（fuzzy adaptive resonance theory, FuzzyART）神经网络的弱小目标检测算法。首先,采用FuzzyART神经网络结合Robinson 警戒环技术，建立自适应局部空间背景模型，并以此分析像素点的背景模糊隶属度来抑制背景杂波；然后依据目标与残留背景杂波的空间特征采用模板...
GRS解码在Fuzzy Vault中应用
Fuzzy Vault 表单解码 生物加密
2009/7/24
将指纹细节点和密钥进行绑定，并用fuzzy vault方法对结果进行保护。在密钥恢复时，用GRS解码进行纠错处理。对GRS的传统解码和表单解码的效果进行了比较，实验表明表单解码比传统解码的密钥恢复效果更好。
DRM: Dynamic Region Matching for Image Retrieval Using Probabilistic Fuzzy Matching and Boosting Feature Selection
Dynamic Region Matching Image Retrieval Probabilistic Fuzzy Matching
2010/12/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1)
irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
Fuzzy Velocity-Based Temporal Dependency for SVM-Driven Realistic Facial Animation
Fuzzy Velocity-Based SVM-Driven Realistic Facial Animation
2010/12/16
Abstract. Driving a realistic facial animation with Support Vector Machine(SVM) requires determining the shape-to-wrinkle correspondence,which includes not only spatial dependency, but also temporal d...
Large Vocabulary Sign Language Recognition Based on Fuzzy Decision Trees
Large Vocabulary Sign Language Recognition Fuzzy Decision Trees
2010/12/14
The major difficulty for large vocabulary sign recognition lies in the huge search space due to a variety of recognized
classes. How to reduce the recognition time without loss of accuracy is a chall...