Analog Motion Detection Circuits Using Simple Edge Detection Circuits Based on the Vertebrate Retina

2009 ◽  
Vol 42 (16) ◽  
pp. 62-67
Author(s):  
Wan Nor Dalila binti Wan Mahmood ◽  
Siti Nur Ain binti Mehat ◽  
Kimihiro Nishio
1986 ◽  
Vol 4 (1) ◽  
pp. 43-56 ◽  
Author(s):  
Libor A Spacek

2014 ◽  
Vol 1030-1032 ◽  
pp. 1696-1700
Author(s):  
Ying Li ◽  
Miao Nie ◽  
Rui Zhou

An modified motion-adaptive de-interlacing algorithm was proposed in view of defects of traditional motion-adaptive de-interlacing algorithm in the aspects of motion detection and adaptive interpolation.Bipolar consecutive four fields was exploited to design criterion of motion state which improved the accuracy of the motion detection.Field insertion algorithm was exploited for interpolation of the static region which could increase vertical resolution of the image.Traditional ELA algorithm was modified by multi-directional edge detection for the interpolation of the motion region which could increase the function of horizontal edge detection and enhance the level of consistency edge direction estimation.Experimental results show that the proposed de-interlacing algorithm improves Peak Signal-to-Noise Ratio (PSNR) and restrains the artifacts such as saw-tooth,interline flicker,motion virtual image.


Author(s):  
Michael K. Kundmann ◽  
Ondrej L. Krivanek

Parallel detection has greatly improved the elemental detection sensitivities attainable with EELS. An important element of this advance has been the development of differencing techniques which circumvent limitations imposed by the channel-to-channel gain variation of parallel detectors. The gain variation problem is particularly severe for detection of the subtle post-threshold structure comprising the EXELFS signal. Although correction techniques such as gain averaging or normalization can yield useful EXELFS signals, these are not ideal solutions. The former is a partial throwback to serial detection and the latter can only achieve partial correction because of detector cell inhomogeneities. We consider here the feasibility of using the difference method to efficiently and accurately measure the EXELFS signal.An important distinction between the edge-detection and EXELFS cases lies in the energy-space periodicities which comprise the two signals. Edge detection involves the near-edge structure and its well-defined, shortperiod (5-10 eV) oscillations. On the other hand, EXELFS has continuously changing long-period oscillations (∼10-100 eV).


2008 ◽  
Vol 128 (7) ◽  
pp. 1185-1190 ◽  
Author(s):  
Kuniaki Fujimoto ◽  
Hirofumi Sasaki ◽  
Mitsutoshi Yahara
Keyword(s):  

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