Matlab中while结构使用举例
时间: 2024-05-22 19:13:55 浏览: 13
当输入一个数字n,然后使用while结构计算1到n的累加和,代码如下:
sum = 0;
i = 1;
while i <= n
sum = sum + i;
i = i + 1;
end
disp(sum);
这段代码中,sum变量用来存储累加和,i变量用来计数,当i小于等于输入的数字n时,就执行循环体中的语句,累加i的值到sum中,i每次加1,直到i大于n时,跳出while循环,最后输出sum的值。
相关问题
matlab中zoom和pan函数的使用方法 ,举例说明
Sure, I'd be happy to help!
The zoom function in MATLAB is used to zoom in or out on a plot. To use it, simply click and drag the mouse over the area you want to zoom in on. To zoom out, click and drag over the area you want to zoom out from while holding the Alt key.
The pan function in MATLAB is used to move around a plotted image. To use it, simply click and drag the mouse over the image to move it in any direction.
For example, if you have a plotted signal and want to zoom in on a specific section, you can use the zoom function to select that portion of the signal and then use the pan function to move around within that selected section. This can be helpful for analyzing specific parts of the signal or for examining multiple signals simultaneously.
举例原始slic算法的matlab代码
以下是一个简单的原始slic算法的matlab代码:
```
function [labels, numlabels] = slic(I, K, compactness)
% I: 输入图像
% K: 超像素数量
% compactness: 超像素紧密度参数
% 初始化
[height, width, ~] = size(I);
S = floor(sqrt(height*width/K));
numlabels = 0;
labels = zeros(height, width);
% 初始化聚类中心
cx = S/2:S:width-S/2;
cy = S/2:S:height-S/2;
[X, Y] = meshgrid(cx, cy);
cx = X(:);
cy = Y(:);
numclusters = length(cx);
% 迭代
while true
numlabels = 0;
for i = 1:numclusters
xlow = round(cx(i)-S);
xhigh = round(cx(i)+S);
ylow = round(cy(i)-S);
yhigh = round(cy(i)+S);
if xlow < 1
xlow = 1;
end
if xhigh > width
xhigh = width;
end
if ylow < 1
ylow = 1;
end
if yhigh > height
yhigh = height;
end
subimage = I(ylow:yhigh, xlow:xhigh, :);
[subheight, subwidth, ~] = size(subimage);
subimage = reshape(subimage, subheight*subwidth, 3);
sublabels = repmat(numlabels+1, subheight*subwidth, 1);
D = pdist2(subimage, subimage);
D = D/max(max(D));
Dxy = pdist2([1:subheight]', [1:subwidth]');
Dxy = Dxy/max(max(Dxy));
D = D + compactness*Dxy;
[temp, tempidx] = min(D);
sublabels = sublabels + tempidx';
labels(ylow:yhigh, xlow:xhigh) = sublabels;
numlabels = numlabels + max(sublabels);
end
if numlabels == numclusters
break;
end
cx = zeros(numlabels, 1);
cy = zeros(numlabels, 1);
for i = 1:numlabels
[y, x] = find(labels == i);
cx(i) = mean(x);
cy(i) = mean(y);
end
numclusters = numlabels;
end
end
```
希望这个代码能够帮到你!
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