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Description: 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
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Size: 1253 |
Author: whq |
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Description: 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.
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Size: 1024 |
Author: whq |
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Description: IROM_Fusing 源码
Quick User Guide of NAND fusing tool
that is Using iROM SD/MMC booting-IROM_Fusing source Quick User Guide of NAND fusing toolthat is Using iROM SD/MMC booting
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Size: 4382720 |
Author: ssgstw |
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Description: -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
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Size: 67584 |
Author: Harry |
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Description: 提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。-This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.There are two main innovations in the approach. One is extracting terms using log-likelihood ratio, which is based on the contrastive probabilityofterm occurrence in domain corpus and background corpus. The other is fusing together information from multiple knowledge sources as evidencesfor discovering particular semantic relationships among terms. In the experiment, traditional k-mediods algorithm is improved for multi-levelclustering. The approach to produce an ontology for the domain of computer science is applied and promising results are obtained.
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Size: 100352 |
Author: xiaobai |
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Description: 產生 IROM image 的工具,可由此image在SD card boot up .(for S3C6410)-Tool to make IROM image. You can boot up from SD card by this image file.(for S3C6410)
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Size: 3101696 |
Author: Bill Cheng |
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Description: 本文通过融合图像的颜色和梯度特征 ,实现了一种实时背景减除方法。首先融合颜色和梯度特征建立新的能量函数 然后基于图切割算法最小化能量函数 ,并对前景P 背景进行分割 最后使用光流验证前景区域的真实性 ,并更新背景模型。- Based on the fusion of color and gradient features , this paper implement s a novel approach to real-time background subtraction.Firstly , an energy function is defined based on the fusion of color and gradient features. Secondly , the graph cut s based algorithm is employed to minimize energy function and segment the foreground. Finally , average optical flow is used to make inference about the validity of foreground regions , background models are then updated.
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Size: 787456 |
Author: 巡洋舰 |
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Description: 熔断时间测试仪，通入额定电流后启动计时器计时，熔断后停止-Fusing time tester, rated current access time after the timer starts, blows to stop
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Size: 13312 |
Author: 逍遥 |
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Description: Matlab下，读取raw文件，实现多波段图像融合，高光谱与高分辨率图像融合，包括直接融合，傅里叶变换后融合，小波变换后融合及HIS变换后融合。-On Matlab,how to read and
show raw files, achieve more band mergering,spectrum image and high resolution image fusiing,including direct fusion,Fourier transform fusion, wavelet transform fusion and HIS transformation fusion
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Size: 2048 |
Author: 1987勇往直前 |
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Description: 分水岭分割对图像特征使用梯度下降法和沿区域边界分析弱点(weak points) 来将像素分
类为区域。想像在一个有水流动的拓扑地形结构中，水在重力的引导下聚集到一个地势较低
的盆地。随着水量的增加，水将流满整个盆地直到水流溢出到另一个盆地，这样就会将一些
小盆地吞没形成大的盆地。使用局部的几何结构来形成区域(集水的盆地)，在图像领域中正
如使用一些诸如曲率或梯度强度等特征中的局部极值来将像素连接成区域。这种技术不像其
他区域分割，它几乎不需要用户定义门限，尤其适合对以不同的特征类型从不同的数据集融
合而来的图像进行分割。分水岭技术在那些不仅仅产生单一图像分割的应用中也更加灵活，
但是使用一个门限，或者交互式地在一个用户绘图界面的帮助下，从一个可以提取一个单一
区域或区域集的a-priori 中的一个分割层级更合适。-Watershed segmentation classifies pixels into regions using gradient descent on image features
and analysis of weak points along region boundaries. Imagine water raining onto a landscape
topology and flowing with gravity to collect in low basins. The size of those basins will grow
with increasing amounts of precipitation until they spill into one another, causing small basins
to merge together into larger basins. Regions (catchment basins) are formed by using local
geometric structure to associate points in the image domainwith local extrema in some fea-ture measurement such as curvature or gradient magnitude. This technique is less sensitive
to user-defined thresholds than classic region-growing methods, and may be better suited for
fusing different types of features from different data sets. The watersheds technique is also
more flexible in that it does not produce a single image segmentation, but rather a hierarchy of
segmentations from which a single region or set of regio
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Size: 5120 |
Author: 张涛 |
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Description: 图像融合 一种最简单单很经典的实例学习 适合初学者理解其中的思想-One of the simplest single image fusion is a classic example of learning for beginners to understand the thinking
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Size: 9216 |
Author: 小小 |
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Description: Multi-focus image fusion in wireless visual sensor networks
(WVSN) is a process of fusing two or more images to obtain
a new one which contains a more accurate description of the
scene than any of the individual source images.
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Size: 1631232 |
Author: Dheena |
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Description: This paper presents a new method for fusing two or more differently exposed images of a High Dynamic Range scene. The method employs illumination
estimation filtering, in order to assess the degree of “wellexposedness” of the pixels in the original image sequence.(These initial estimations are then modulated by membership functions, which assign specific weights to the pixels of the image sequence. The membership
functions favor the well-exposed pixels from each exposure, in order to maximize the visual information in the final result. The fused image is derived by interpolating between)
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Size: 3784704 |
Author: songggg |
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Description: Motion recognition has received increasing attention in recent years owing to heightened demand for
computer vision in many domains, including the surveillance system, multimodal human computer
interface, and trac control system. Most conventional approaches classify the motion recognition task
into partial feature extraction and time-domain recognition subtasks. However, the information of motion
resides in the space-time domain instead of the time domain or space domain independently, implying that
fusing the feature extraction and classi cation in the space and time domains into a single framework is
preferred.
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Size: 910336 |
Author: nabill |
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