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RGB 的代码
p0703.m
I=imread('cancer.bmp');
[y,x,z]=size(I);
myI=double(I); % 图象的数据类型为无符号整型，必须转换为双精度实型才能计算
%%%%%%%%%%% RGB to HSI %%%%%%%%
H=zeros(y,x);
S=H;
HS_I=H;
for i=1:x
for j=1:y
vmquant.m
function [im, map] = vmquant(arg1,arg2,arg3,arg4,arg5,arg6,arg7)
%VMQUANT Variance Minimization Color Quantization.
% [X, MAP] = VMQUANT(R,G,B,K,[Qr Qg Qb],DITHER,Qe) or
% VMQUANT(RGB,K,[Qr Qg
makefile
#
# @(#)Makefile 92/07/30 1.1 SMI
#
WHOAMI= misc
#HDRSPUBLIC= cms.h cms_grays.h cms_mono.h cms_rainbow.h cms_rgb.h sun.h \
window_hs.h bitmask.h hashfn.h
#HDRSPRIVATE= cursor_impl.h
CFILESLIB= cmdl
example7_1.m
load xpmndrll
image(X2)
title('原始彩色索引图像')
colormap(map);
colorbar
%================================
%分解彩色索引图像为RGB分量
R=map(X2,1);
R=reshape(R,size(X2));
G=map(X2,2);
G=reshape(G,size(X2));
B
harris2.m
ori_im2=rgb2gray(imread('2.bmp'));
ori_im2=imresize(ori_im2',0.50,'bicubic');
fx = [5 0 -5;8 0 -8;5 0 -5]; % % la gaucienne，ver axe x
Ix = filter2(fx,ori_im2); % la
test.h
// 编码表RGB数组
const BYTE C[4][256][4] =
{
{ // 彩虹编码 1
{ 0, 0, 0,0 }, { 7, 0, 0,0 }, { 15, 0, 0,0 }, { 23, 0, 0,0 }, //4
{ 31, 0, 0,0 }, { 39, 0, 0,0 }, { 47, 0, 0,0 }, {
test.h
// 编码表RGB数组
const BYTE C[4][256][4] =
{
{ // 彩虹编码 1
{ 0, 0, 0,0 }, { 7, 0, 0,0 }, { 15, 0, 0,0 }, { 23, 0, 0,0 }, //4
{ 31, 0, 0,0 }, { 39, 0, 0,0 }, { 47, 0, 0,0 }, {
tuxing.m
clear;clc;
raw = imread('作业2.bmp');
raw = padarray(raw, [1 1], 1, 'both');
gray_bmp = rgb2gray(raw);
%注意matlab是对图像的白色部分进行处理的
labeled_bmp = ~bwlabel(gray_bmp);
sep1 = ~bwselect(labeled_bmp,
program14.m
%%先使用腐蚀和中值滤波,并使用新的增强方法
clear
g=imread('C1.jpg');
figure(1),imshow(g);
gray=rgb2gray(g);
se=strel('square',5);
A=imerode(gray,se);
figure(2),imshow(A);
A1=medfilt2(A,[7 7]);
figure(3),imsh
seg_oneseed.m
image=imread('mri1.jpg');
I=rgb2gray(image);
figure,imshow(I),title('原始图像')
I=double(I)/255;
[M,N]=size(I);
[y,x]=getpts; %获得区域生长起始点
x1=round(x); %横坐标取整
y1=round(y);