summaryrefslogtreecommitdiff
path: root/Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb
diff options
context:
space:
mode:
Diffstat (limited to 'Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb')
-rw-r--r--Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb426
1 files changed, 426 insertions, 0 deletions
diff --git a/Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb b/Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb
new file mode 100644
index 0000000..bc4db43
--- /dev/null
+++ b/Digital_Image_Processing_by_S_Jayaraman/11-Colur_Image_Processing.ipynb
@@ -0,0 +1,426 @@
+{
+"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Chapter 11: Colur Image Processing"
+ ]
+ },
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.12: Read_a_Colour_image_and_separate_the_colour_image_into_red_green_and_blue_planes.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Read a Colour image and separate the colour image into: red,green\n",
+"//and blue planes\n",
+"//Fig.11.12: MATLAB Example2\n",
+"//page592\n",
+"clc;\n",
+"close;\n",
+"RGB = imread('E:\DIP_JAYARAMAN\Chapter11\peppers.png'); //SIVP toolbox\n",
+"a1 = RGB;\n",
+"b1 = RGB;\n",
+"c1 = RGB;\n",
+"a1(:,:,1)=0;\n",
+"b1(:,:,2)=0;\n",
+"c1(:,:,3)=0;\n",
+"figure(1)\n",
+"ShowColorImage(RGB, 'Original Color Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(a1, 'Red Missing');\n",
+"figure(3)\n",
+"ShowColorImage(b1, 'Green Missing');\n",
+"figure(4)\n",
+"ShowColorImage(c1, 'Blue Missing');"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.16: Compute_the_histogram_of_the_colour_image.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Compute the histogram of the colour image\n",
+"//Fig.11.16: MATLAB Example3\n",
+"//page595\n",
+"clc;\n",
+"close;\n",
+"I = imread('E:\DIP_JAYARAMAN\Chapter11\lavender.jpg'); //SIVP toolbox\n",
+"figure(1)\n",
+"ShowColorImage(I, 'Original Color Image'); //IPD toolbox\n",
+"J = im2double(I);\n",
+"[index,map] = RGB2Ind(I); //IPD toolbox\n",
+"pixels = prod(size(index));\n",
+"hsv = rgb2hsv(J);\n",
+"h = hsv(:,1);\n",
+"s = hsv(:,2);\n",
+"v = hsv(:,3);\n",
+"//Finds location of black and white pixels\n",
+"darks = find(v<0.2);\n",
+"lights = find(s<0.05 & v>0.85);\n",
+"h([darks lights])=-1;\n",
+"//Gets the number of all pixels for each colour bin\n",
+"black_pixels = length(darks)/pixels;\n",
+"white_pixels = length(lights)/pixels;\n",
+"red = length(find((h > .9167 | h <= .083) & h ~= -1))/pixels;\n",
+"yellow = length(find(h > .083 & h <= .25))/pixels;\n",
+"green = length(find(h > .25 & h <= .4167))/pixels;\n",
+"cyan = length(find(h > .4167 & h <= .5833))/pixels;\n",
+"blue = length(find(h > .5833 & h <= .75))/pixels;\n",
+"magenta = length(find(h > .75 & h <= .9167))/pixels;\n",
+"//Plots histogram\n",
+"figure(2)\n",
+"a=gca();\n",
+"a.data_bounds=[0,0;8,1]\n",
+"n = 0:0.1:1;\n",
+"plot2d2(n,red*ones(1,length(n)),5)\n",
+"n1 = 1:0.1:2;\n",
+"plot2d2(n1,yellow*ones(1,length(n)),7)\n",
+"n2 = 2:0.1:3;\n",
+"plot2d2(n2,green*ones(1,length(n)),8)\n",
+"n3 = 3:0.1:4;\n",
+"plot2d2(n3,cyan*ones(1,length(n)),9)\n",
+"n4 = 4:0.1:5;\n",
+"plot2d2(n4,blue*ones(1,length(n)),2)\n",
+"n5 = 5:0.1:6;\n",
+"plot2d2(n5,magenta*ones(1,length(n)),3)\n",
+"n6 = 6:0.1:7;\n",
+"plot2d2(n6,white_pixels*ones(1,length(n)),0)\n",
+"n7 = 7:0.1:8\n",
+"plot2d2(n7,black_pixels*ones(1,length(n)),5)"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.18: Perform_histogram_equalisation_of_the_given_RGB_image.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Perform histogram equalisation of the given RGB image\n",
+"//Fig.11.18: MATLAB Example4\n",
+"//page596\n",
+"clc;\n",
+"close;\n",
+"a = imread('E:\DIP_JAYARAMAN\Chapter11\peppers.png'); //SIVP toolbox\n",
+"//conversion of RGB to YIQ format\n",
+"b = rgb2ntsc(a);\n",
+"//Histogram equalisation of Y component alone\n",
+"b(:,:,1) = \n",
+"//conversion of YIQ to RGB format\n",
+"c = ntsc2rgb(b);\n",
+"figure(1)\n",
+"ShowColorImage(a, 'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(c, 'Histogtram equalized Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.21: This_program_performs_median_filtering_of_the_colour_image.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:This program performs median filtering of the colour image\n",
+"//Fig.11.21: MATLAB Example5\n",
+"//page598\n",
+"clc;\n",
+"close;\n",
+"a = imread('E:\DIP_JAYARAMAN\Chapter11\peppers.png'); //SIVP toolbox\n",
+"b = imnoise(a, 'salt & pepper', 0.2);\n",
+"c(:,:,1)= MedianFilter(b(:,:,1), [3 3]);\n",
+"c(:,:,2)= MedianFilter(b(:,:,2), [3 3]); \n",
+"c(:,:,3)= MedianFilter(b(:,:,3), [3 3]); \n",
+"figure(1)\n",
+"ShowColorImage(a, 'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(b, 'corrupted Image'); //IPD toolbox\n",
+"figure(3)\n",
+"ShowColorImage(c, 'Median Filtered Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.24: Fitlering_only_the_luminance_component.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Fitlering only the luminance component\n",
+"//Fig.11.24: MATLAB Example6\n",
+"//page599\n",
+"clc;\n",
+"close;\n",
+"a = imread('E:\DIP_JAYARAMAN\Chapter11\peppers.png'); //SIVP toolbox\n",
+"//conversion of RGB to YIQ format\n",
+"yiq = rgb2ntsc(a);\n",
+"//Extract the Y component alone\n",
+"b = yiq(:,:,1);\n",
+"h = [-1,-1,-1;-1,8,-1;-1,-1,-1];\n",
+"//Perform high pass filtering only on Y component\n",
+"c1 = conv2d2(b,h);\n",
+"[m,n]= size(b);\n",
+"for i =1:m\n",
+" for j=1:n\n",
+" D(i,j)= c1(i,j);\n",
+" end\n",
+"end\n",
+"yiq(:,:,1)=D;\n",
+"//convert YIQ to RGB format\n",
+"a1 = ntsc2rgb(yiq);\n",
+"figure(1)\n",
+"ShowColorImage(a, 'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(a1, 'High Pass filtered Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.28: Perform_gamma_correction_for_the_given_colour_image.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Perform gamma correction for the given colour image\n",
+"//Fig.11.28: MATLAB Example7\n",
+"//page603\n",
+"close;\n",
+"clear;\n",
+"clc;\n",
+"I = imread('E:\DIP_JAYARAMAN\Chapter11\ararauna.png'); //SIVP toolbox\n",
+"gamma_Value = 0.5;\n",
+"max_intensity = 255; //for uint8 image\n",
+"//Look up table creation\n",
+"LUT = max_intensity.*(([0:max_intensity]./max_intensity).^gamma_Value);\n",
+"LUT = floor(LUT);\n",
+"//Mapping of input pixels into lookup table values\n",
+"K = double(I)+1;\n",
+"J = zeros(I);\n",
+"[m,n,p]= size(K);\n",
+"for i = 1:m\n",
+" for j =1:n\n",
+" for k = 1:p\n",
+" J(i,j,k)= LUT(K(i,j,k));\n",
+" end\n",
+" end\n",
+"end\n",
+"figure(1)\n",
+"ShowColorImage(I, 'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(uint8(J), 'Gamma Corrected Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.30: Perform_Pseudo_Colouring_Operation.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Perform Pseudo-Colouring Operation\n",
+"//Fig.11.30\n",
+"//page604\n",
+"close;\n",
+"clear;\n",
+"clc;\n",
+"K = imread('E:\DIP_JAYARAMAN\Chapter11\lenna.jpg'); //SIVP toolbox\n",
+"[m,n]= size(K);\n",
+"I = uint8(K);\n",
+"for i = 1:m\n",
+" for j =1:n\n",
+" if (I(i,j)>=0 & I(i,j)<50)\n",
+" J(i,j,1)=I(i,j)+50;\n",
+" J(i,j,2)=I(i,j)+100;\n",
+" J(i,j,3)=I(i,j)+10;\n",
+" elseif (I(i,j)>=50 & I(i,j)<100)\n",
+" J(i,j,1)=I(i,j)+35;\n",
+" J(i,j,2)=I(i,j)+128;\n",
+" J(i,j,3)=I(i,j)+10;\n",
+" elseif(I(i,j)>=100 & I(i,j)<150)\n",
+" J(i,j,1)=I(i,j)+152;\n",
+" J(i,j,2)=I(i,j)+130;\n",
+" J(i,j,3)=I(i,j)+15;\n",
+" elseif(I(i,j)>=150 & I(i,j)<200)\n",
+" J(i,j,1)=I(i,j)+50;\n",
+" J(i,j,2)=I(i,j)+140;\n",
+" J(i,j,3)=I(i,j)+25;\n",
+" elseif(I(i,j)>=200 & I(i,j)<=256)\n",
+" J(i,j,1)=I(i,j)+120;\n",
+" J(i,j,2)=I(i,j)+160;\n",
+" J(i,j,3)=I(i,j)+45;\n",
+" end\n",
+" end\n",
+"end\n",
+"figure(1)\n",
+"ShowImage(K, 'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowColorImage(J, 'Pseudo Coloured Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.32: Read_an_RGB_image_and_segment_it_using_the_threshold_method.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Read an RGB image and segment it using the threshold method\n",
+"//Fig11.32\n",
+"//Page605\n",
+"close;\n",
+"clc;\n",
+"I = imread('E:\DIP_JAYARAMAN\Chapter11\ararauna.png'); //SIVP toolbox\n",
+"//Conversion of RGB to YCbCr\n",
+"b = rgb2ycbcr_1(I); //SIVP toolbox\n",
+"[m,n,p]=size(b);\n",
+"b = uint8(b);\n",
+"//Threshold is applied only to Cb component\n",
+"mask = b(:,:,2)>120;\n",
+"figure(1)\n",
+"ShowColorImage(I,'Original Image'); //IPD toolbox\n",
+"figure(2)\n",
+"ShowImage(mask, 'Segmented Image'); //IPD toolbox"
+ ]
+ }
+,
+{
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 11.4: Read_an_RGB_image_and_extract_the_three_colour_components_red_green_blue.sce"
+ ]
+ },
+ {
+"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+"source": [
+"//Caption:Read an RGB image and extract the three colour components: red,green\n",
+"//and blue\n",
+"//Fig.11.4: MATLAB Example1\n",
+"//page588\n",
+"clc;\n",
+"close;\n",
+"RGB = imread('E:\DIP_JAYARAMAN\Chapter11\peppers.png'); //SIVP toolbox\n",
+"R = RGB;\n",
+"G = RGB;\n",
+"B = RGB;\n",
+"R(:,:,2)=0;\n",
+"R(:,:,3)=0;\n",
+"G(:,:,1)=0;\n",
+"G(:,:,3)=0;\n",
+"B(:,:,1)=0;\n",
+"B(:,:,2)=0;\n",
+"figure(1)\n",
+"ShowColorImage(RGB, 'Original Color Image'); //IPD toolbox\n",
+"title('Original Color Image');\n",
+"figure(2)\n",
+"ShowColorImage(R, 'Red Component');\n",
+"figure(3)\n",
+"ShowColorImage(G, 'Green Component');\n",
+"figure(4)\n",
+"ShowColorImage(B, 'Blue Component');"
+ ]
+ }
+],
+"metadata": {
+ "kernelspec": {
+ "display_name": "Scilab",
+ "language": "scilab",
+ "name": "scilab"
+ },
+ "language_info": {
+ "file_extension": ".sce",
+ "help_links": [
+ {
+ "text": "MetaKernel Magics",
+ "url": "https://github.com/calysto/metakernel/blob/master/metakernel/magics/README.md"
+ }
+ ],
+ "mimetype": "text/x-octave",
+ "name": "scilab",
+ "version": "0.7.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
generated by cgit (git 2.34.1) at 2025-04-08 02:54:30 +0000