[image processing] image curve adjustment system based on MATLAB

1 brief introduction

With the development of science and technology , Computer network has become an indispensable tool in people's life , Therefore, informatization has completely changed people's way of life . Digital image processing has become the first choice in the field of image processing . at present ,MATLAB Because of its powerful computing function, it supports both numerical operation and matrix operation, and is convenient for users' secondary development , Easy to learn and flexible , It has become one of the widely used application software in the field of digital image processing .​

2 Part of the code

function varargout = toneCure(varargin)​%%% TONECURE MATLAB code for toneCure.fig%      TONECURE, by itself, creates a new TONECURE or raises the existing%      singleton*.%%      H = TONECURE returns the handle to a new TONECURE or the handle to%      the existing singleton*.%%      TONECURE('CALLBACK',hObject,eventData,handles,...) calls the local%      function named CALLBACK in TONECURE.M with the given input arguments.%%      TONECURE('Property','Value',...) creates a new TONECURE or raises the%      existing singleton*.  Starting from the left, property value pairs are%      applied to the GUI before toneCure_OpeningFcn gets called.  An%      unrecognized property name or invalid value makes property application​​if (get(handles.pushbutton6, 'Value') >0 )​    cla(handles.axes2,'reset');    cla(handles.axes3,'reset');      %  Reset and empty the dynamic axes1 The data of     cla(handles.axes4,'reset');      %  Reset and empty the dynamic axes1 The data of         set(handles.edit1,'string','');    set(handles.edit2,'string','');     %  Empty fram    set(handles.edit3,'string','');     %  Empty fram        set(handles.popupmenu1,'Value',1);  % Menu selection     set(handles.popupmenu4,'Value',1);        points(1,1:2)=0.0;    points(2,1:2)=0.2;    points(3,1:2)=0.4;    points(4,1:2)=0.6;    points(5,1:2)=0.8;    points(6,1:2)=1;        p1 =  polyfit(points(:,1),  points(:,2), 5);       %% y  = x  +  b;    x=0:0.01:1;    y = polyval(p1, x);        % hold on;    y2 = x ;    plot(x, y2, 'k-.', 'LineWidth', 1, 'parent', handles.axes2);    hold on;    plot(x, y, 'r-', points(:,1), points(:,2), 'b*',  'LineWidth', 1.25, 'parent', handles.axes2) ;    legend('y = x', 'y = f(x)',  'Location', 'northwest');        grid on;    idx=0;end​% Update handles structure guidata(hObject, handles);​

3 Simulation results

4 reference

[1] Yingying . be based on MATLAB Implementation of graphics and image processing system based on [D]. Inner Mongolia University , 2013.

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