Gray image quantization

조회 수: 2 (최근 30일)
Alan AF
Alan AF 2012년 2월 10일
편집: Erik 2013년 10월 8일
I am trying to quantize an image into 12 bit intensity using the below code:
R2D = mat2gray(R2D); % intensity between [0,1] Double
R2D = double(uencode(R2D,12)); % intensity between [0,2^12] integer
PIC = mat2gray(R2D); % intensity between [0,1] Double
imshow(pic);
the problem is in 'uencode' function , the input must be in the range of [-1,1], is there a way to do that quantization for input values between [0,1]? may be some changes to the 'uencode' will do job :)
Many thanks

채택된 답변

Alan AF
Alan AF 2012년 2월 10일
Thank you, I found the Solution:
R2D = mat2gray(R2D);
[R2D8,map] = gray2ind(R2D,128);
pic = ind2gray(R2D8,map);
pic = mat2gray(pic);
imshow(pic);
  댓글 수: 1
Image Analyst
Image Analyst 2012년 2월 10일
This does 128 gray levels, not 4096.

댓글을 달려면 로그인하십시오.

추가 답변 (1개)

Image Analyst
Image Analyst 2012년 2월 10일
How about using code like:
actualMin = double(min(min(imgOriginal)));
actualMax = double(max(max(imgOriginal)));
slope = (desiredMax - desiredMin) / (double(actualMax) - double(actualMin));
scaledImage = slope * (double(imgOriginal) - actualMin) + desiredMin;
  댓글 수: 2
Alan AF
Alan AF 2012년 2월 10일
Thanks for your reply
Actually my intention is to Quantize the Image (i.e store every pixel into an 12 bit integer), is there a way to do that?
many thanks :)
Image Analyst
Image Analyst 2012년 2월 10일
I didn't think that was your intention because at the end you called mat2gray() which forces it into a 0-1 range, which pretty much wipes out quantization - not quite but for most intents and purposes it does. And the quantized intermediate images, you didn't do anything with.

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Convert Image Type에 대해 자세히 알아보기

제품

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by