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
In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.
標(biāo)簽： different computer acquired sampling
上傳時(shí)間： 2013-12-28
上傳用戶：來(lái)茴
in this document basic frame details and data rate specification about 802.11a is given.ofdm based wireless lan system uses this.
標(biāo)簽： specification document details 802.11
上傳時(shí)間： 2017-04-03
上傳用戶：invtnewer
A combined space鈥搕ime block coding (STBC) and eigen-space tracking (EST) scheme in multiple-input-multiple-output systems is proposed. It is proved that the STBC-EST is capable of shifting hardware complexity from the receiver to the transmitter without any bit error rate (BER) performance loss. A computation efficient EST algorithm is also proposed, which makes the STBC-EST affordable. Simulation results show that the STBC-EST with a modest feedback requirement results in a negligible BER performance loss compared with a dual system configuration.
標(biāo)簽： multiple-input-m eigen-space combined tracking
上傳時(shí)間： 2014-01-13
上傳用戶：磊子226
contains pdf documents for MIMO in wirless communications, MI_NLMS adaptive beamforming algorithm for OFDM system, narrowband beamforming algorithm for smart antenna
標(biāo)簽： communications beamforming algorithm documents
上傳時(shí)間： 2014-01-06
上傳用戶：leehom61
Airline Reservations System A small airline has just purchased a computer for its new automated reservation system. You have been asked to develop the new system called ARSystem. You are to write an application to assign seats on each flight of the airline s only plane (capacity: 24 seats.) Your application should display the following alternatives: Please type 1 for FirstClass and Please type 2 for Economy. If the user types 1, your application should assign a seat in the first-class section (seats 1-8). If the user types 2, your application should assign a seat in the economy section (seats 9-24). Your application should then display a boarding pass indicating the person s seat number and whether it is in the first-class or economy
標(biāo)簽： Reservations automated purchased computer
上傳時(shí)間： 2017-04-14
上傳用戶：lizhizheng88
Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
標(biāo)簽： Recovering structure addressed problem
上傳時(shí)間： 2017-04-17
上傳用戶：xiaoxiang
1. This BSP can support 2443EVT0 board. If you want to use EVT0 BSP, set followings. In smdk2443\smdk2443.bat file set BSP_EVT1=1 -> set BSP_EVT1= In smdk2443\src\inc\bsp_cfg.h file #define EVT1 -> #define EVT0 2. Default system tick mode is changed. The value is fixed tick. Fixed tick means that tick interrupt is occurred every 1ms. Variable tick means that timer interrupt period is changed when power mode is in idle. For changing to variable tick In smdk2443\src\inc\bsp_cfg.h file #define FIXEDTICK -> #define VARTICK In smdk2443\src\Common\Timer\Sources file SOURCES= timer_fixedtick.c watchdog.c -> SOURCES= timer_vartick.c watchdog.c
標(biāo)簽： EVT0 followings BSP support
上傳時(shí)間： 2014-01-27
上傳用戶：fnhhs
The advantages of automation can be exploited in order to solve or to minimize the needs of manual approach. In order to support the development of survey accurate cadastral system, an automatic programming approach will be adopted. Database selection system will conduct several outliers integrity checking, rebuild cadastral spatial topology (cadastral lot) and make selfcorrection procedures based on cadastral survey concepts and mathematical model respective to the cadastral lots selected. This is to ensure that all cadastral lots are kept in a closed polygon and provide accurate and "clean" cadastral information.. This system was developed in windows environment.
標(biāo)簽： advantages automation exploited minimize
上傳時(shí)間： 2017-04-29
上傳用戶：520
querry by singing is the project presentation to help for those who are doing research in the CBMR system
標(biāo)簽： presentation the research project
上傳時(shí)間： 2014-01-27
上傳用戶：Miyuki
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