selvakarna

IMAGE CLAHE SK ALGORITHM MATLAB CODE:
%%              ENHANCEMENT PROCESS 
%--------------APPLYING CLAHE ALGORITHM------------------------------------

  
INT_THRSH=0.5; %-----------------------------------------------------------% INTENSITY THRESHOLD VALUE
LOW_LMT=0.008; %-----------------------------------------------------------% PIXEL INTENSITY LOWER LIMIT LEVEL
UP_LMT=0.992; %------------------------------------------------------------% HIGH THRESHOLD VALUE
IMG=FILTR_IM;
[m1 n1]=size(FILTR_IM);
AD=double(FILTR_IM)./255; 
MEAN_AD=INT_THRSH-mean(mean(AD));
AD=AD+MEAN_AD*(1-AD);
IMG=AD.*255;
k=1;
ARRY=sort(reshape(IMG,m1*n1,1));
MIN_VAL(1)=ARRY(ceil(LOW_LMT*m1*n1)); 
MAX_VAL(1)=ARRY(ceil(UP_LMT*m1*n1));
IMG=(IMG-MIN_VAL(1))/(MAX_VAL(1)-MIN_VAL(1));
RECON_IMG=uint8(IMG.*255);
subplot(523);
imshow(RECON_IMG);

title('ENHANCED IMAGE');




C++  Code For Image read 

#include <iostream>

#include <opencv2/core.hpp>

#include <opencv2/imgproc.hpp>

#include <opencv2/imgcodecs.hpp>

#include<opencv2/highgui.hpp>

using namespace std;

using namespace cv;

int main()

{

Mat img;

Mat gry;

img=cv::imread("test.jpg",CV_LOAD_IMAGE_COLOR);

 cv::imshow("image",img);

 char k;

k=cv::waitKey(0);

if(k=='s')

cv::destroyAllWindows();

return 0;

}

Output:

sk_baby input image

MATLAB code for sk baby read and RGB2GRAY conversion Code 

clc

clear all;

close all;

a=imread('sk.jpg');

imshow(a)

c=rgb2gray(a);

imshow(c)

title('gray image');

sk_baby_bw=im2bw(c,0.54);
figure,imshow(sk_baby_bw);
title('sk_baby_binary_image');

                                                            Sk_baby_Gray Image;

Sk_baby_Binary Image;

FACE EYE MOUTH DETECTION