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3 | PointedEar | 1 | /*------------------------------------------------------------------------------------------*\ |
2 | This file contains material supporting chapter 4 of the cookbook: |
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3 | Computer Vision Programming using the OpenCV Library. |
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4 | by Robert Laganiere, Packt Publishing, 2011. |
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5 | |||
6 | This program is free software; permission is hereby granted to use, copy, modify, |
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7 | and distribute this source code, or portions thereof, for any purpose, without fee, |
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8 | subject to the restriction that the copyright notice may not be removed |
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9 | or altered from any source or altered source distribution. |
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10 | The software is released on an as-is basis and without any warranties of any kind. |
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11 | In particular, the software is not guaranteed to be fault-tolerant or free from failure. |
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12 | The author disclaims all warranties with regard to this software, any use, |
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13 | and any consequent failure, is purely the responsibility of the user. |
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14 | |||
15 | Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name |
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16 | \*------------------------------------------------------------------------------------------*/ |
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17 | |||
18 | #include <iostream> |
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19 | using namespace std; |
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20 | |||
5 | PointedEar | 21 | #include <opencv/cv.h> |
22 | #include <opencv/highgui.h> |
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3 | PointedEar | 23 | #include "histogram.h" |
24 | |||
25 | int main() |
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26 | { |
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27 | // Read input image |
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28 | cv::Mat image= cv::imread("../group.jpg",0); |
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29 | if (!image.data) |
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30 | return 0; |
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31 | |||
32 | // Display the image |
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33 | cv::namedWindow("Image"); |
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34 | cv::imshow("Image",image); |
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35 | |||
36 | // The histogram object |
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37 | Histogram1D h; |
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38 | |||
39 | // Compute the histogram |
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40 | cv::MatND histo= h.getHistogram(image); |
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41 | |||
42 | // Loop over each bin |
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43 | for (int i=0; i<256; i++) |
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44 | cout << "Value " << i << " = " << histo.at<float>(i) << endl; |
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45 | |||
46 | // Display a histogram as an image |
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47 | cv::namedWindow("Histogram"); |
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48 | cv::imshow("Histogram",h.getHistogramImage(image)); |
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49 | |||
50 | // creating a binary image by thresholding at the valley |
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51 | cv::Mat thresholded; |
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52 | cv::threshold(image,thresholded,60,255,cv::THRESH_BINARY); |
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53 | |||
54 | // Display the thresholded image |
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55 | cv::namedWindow("Binary Image"); |
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56 | cv::imshow("Binary Image",thresholded); |
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57 | cv::imwrite("binary.bmp",thresholded); |
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58 | |||
59 | // Equalize the image |
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60 | cv::Mat eq= h.equalize(image); |
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61 | |||
62 | // Show the result |
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63 | cv::namedWindow("Equalized Image"); |
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64 | cv::imshow("Equalized Image",eq); |
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65 | |||
66 | // Show the new histogram |
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67 | cv::namedWindow("Equalized Histogram"); |
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68 | cv::imshow("Equalized Histogram",h.getHistogramImage(eq)); |
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69 | |||
70 | // Stretch the image ignoring bins with less than 5 pixels |
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71 | cv::Mat str= h.stretch(image,5); |
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72 | |||
73 | // Show the result |
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74 | cv::namedWindow("Stretched Image"); |
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75 | cv::imshow("Stretched Image",str); |
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76 | |||
77 | // Show the new histogram |
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78 | cv::namedWindow("Stretched Histogram"); |
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79 | cv::imshow("Stretched Histogram",h.getHistogramImage(str)); |
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80 | |||
81 | // Create an image inversion table |
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5 | PointedEar | 82 | cv::Mat lookup; |
3 | PointedEar | 83 | |
84 | for (int i=0; i<256; i++) { |
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85 | |||
5 | PointedEar | 86 | lookup.data[i]= 255-i; |
3 | PointedEar | 87 | } |
88 | |||
89 | // Apply lookup and display negative image |
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90 | cv::namedWindow("Negative image"); |
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91 | cv::imshow("Negative image",h.applyLookUp(image,lookup)); |
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92 | |||
93 | cv::waitKey(); |
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94 | return 0; |
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95 | } |
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96 |