One Transmitter - Two Receiver Moving Target SAR imaging
標(biāo)簽： Transmitter Receiver imaging Moving
上傳時(shí)間： 2014-01-18
上傳用戶：啊颯颯大師的
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. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2017-04-03
上傳用戶：qunquan
-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.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2014-03-04
上傳用戶：15736969615
1.an fpga implementation of the image space reconstruction algorithm for hyperspectral imaging analysis 2. fpga implemention of a median filter 3. fpga implementation of digital filters 4.hardware acceleration of edge detection algorithm on fpgas 5.implementation and evaluation of image processing algorithms on reconfigurable architecture using C-based hardware descriptive languages 6. implementing 2D median filter in fpgas 7.視頻圖像處理與分析的網(wǎng)絡(luò)資源
標(biāo)簽： implementation reconstruction hyperspectral algorithm
上傳時(shí)間： 2014-01-10
上傳用戶：894898248
Java Media APIs: Cross-Platform imaging, Media, and Visualization presents integrated Java media solutions that demonstrate the best practices for using this diverse collection. According to Sun MicroSystems, "This set of APIs supports the integration of audio and video clips, animated presentations, 2D fonts, graphics, and images, as well as speech input/output and 3D models." By presenting each API in the context of its appropriate use within an integrated media application, the authors both illustrate the potential of the APIs and offer the architectural guidance necessary to build compelling programs.
標(biāo)簽： Media Java Cross-Platform Visualization
上傳時(shí)間： 2013-12-04
上傳用戶：hanli8870
使用TWAIN讀取掃描儀的圖像。In Windows imaging applications, the most used API for scanning is TWAIN www.twain.org. Unfortunately, the new .NET Framework has no built-in support for TWAIN. So we have to work with the interop methods of .NET to access this API. This article doesn t explain this interop techniques, and good knowledge of the TWAIN 1.9 specifications is assumed! The sample code included doesn t present a finished library, only some essential steps for a minimal TWAIN adaption to .NET applications.
標(biāo)簽： TWAIN applications scanning Windows
上傳時(shí)間： 2013-12-25
上傳用戶：3到15
spectral clutering for the imaging algorithms.
標(biāo)簽： algorithms clutering spectral imaging
上傳時(shí)間： 2017-05-13
上傳用戶：zsjinju
medical imaging modalities
標(biāo)簽： modalities medical imaging
上傳時(shí)間： 2013-12-11
上傳用戶：yepeng139
rang doppler imaging and motion compensation中的源代碼
標(biāo)簽： compensation doppler imaging motion
上傳時(shí)間： 2013-12-24
上傳用戶：cainaifa
this simulink file is to provide cross range radar imaging.
標(biāo)簽： simulink imaging provide cross
上傳時(shí)間： 2017-08-21
上傳用戶：qilin
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