Vidicon Camera Tube



            A "Vidicon Camera Tube" or "Pick up Tube" was used as a replacement of CCD's (Charged coupled device) for converting an optical image into an electrical signal. It has an ability to store intensity information over the entire photosensitive area simultaneously on photoconductive surface.

Diagram of a image dessector

Parts of the Vidicon Camera Tube

Cathode ray tube: It is a vacuum tube through which the beam of electrons are focused. Electrons are nothing but cathode rays.

Photoconductive Target: It is a thin layer deposited on a transperent metal film. The target which is placed on the inner surface of the faceplate consists of three layers:
1) The transperent target electrode deposited directly onto the faceplate.
2) A dielectric layer.
3) A photoelectric layer facing on the electron gun that is located toward the back of the camera tube.



Comments

Post a Comment

Popular posts from this blog

Matlab code to get negative of an image

Image
clear all; clc; close all; OriImg=imread('lena.tif'); %This will reads the image to i NegImg=imcomplement(OriImg); %This will moves complement of image i into y %The below statements will produce the output subplot(1,2,1);imshow(OriImg);title('Original image'); subplot(1,2,2);imshow(NegImg);title('Negative image'); RESULT:
Read more

To find the MSE value

%Let me explain with the same example. %To the input image Iimg applied the 'Salt & Pepper noise' with the noise ratio of 20% and named as 'Nimg'. %Now for the 'Nimg' i applied median filter and named as Mimg. %Now i need to find the 'Mean Square Error' MSE comparison between Mimg and Nimg. clear all close all clc; Iimg=imread('moon.tif'); [r c]=size(  Iimg ); d=ndims( Iimg ); if d == 3      Iimg =rgb2gray( Iimg ); end Iimg=double( Iimg ); Iimg= Iimg /225; Nimg=imnoise( Iimg ,'salt & pepper',0.2); Mimg=medfilt2( Nimg ,[5 5]); clc; Diff= Nimg - Mimg ; MSE= sum(sum(Diff.* Diff)) / (r * c); fprintf('\n\nThe Mse value is:  %d',MSE1); subplot(1,2,1);imshow( Nimg );title('Noised image'); subplot(1,2,2);imshow( Mimg );title('Denoised image'); RESULT: The Mse value is:  2.521604e-002 i.e, MSE ~ 0.0252
Read more