matlab高斯金字塔klt

高斯金字塔和KLT（Kanade-Lucas-Tomasi）是在计算机视觉中常用的技术。下面是使用Matlab实现高斯金字塔和KLT的示例代码：

1. 高斯金字塔：

% 读取图像
image = imread('image.jpg');

% 构建高斯金字塔
numLevels = 5; % 金字塔层数
sigma = 1.6; % 高斯核标准差
pyramid = cell(numLevels, 1);
pyramid{1} = image;
for i = 2:numLevels
    pyramid{i} = imresize(pyramid{i-1}, 0.5);
    pyramid{i} = imgaussfilt(pyramid{i}, sigma);
end

% 显示金字塔图像
figure;
for i = 1:numLevels
    subplot(1, numLevels, i);
    imshow(pyramid{i});
    title(['Level ', num2str(i)]);
end

2. KLT跟踪算法：

% 读取两个图像
image1 = imread('image1.jpg');
image2 = imread('image2.jpg');

% 提取特征点
points1 = detectHarrisFeatures(image1);
points2 = detectHarrisFeatures(image2);

% 计算特征点的光流
[features1, validPoints1] = extractFeatures(image1, points1);
[features2, validPoints2] = extractFeatures(image2, points2);
indexPairs = matchFeatures(features1, features2);
matchedPoints1 = validPoints1(indexPairs(:, 1), :);
matchedPoints2 = validPoints2(indexPairs(:, 2), :);
[flow, validity] = estimateFlow(opticalFlowLK, image1, image2, matchedPoints1, matchedPoints2);

% 显示光流结果
figure;
imshow(image1);
hold on;
plot(validPoints1);
plot(flow, 'DecimationFactor', [5 5], 'ScaleFactor', 10);
title('KLT Optical Flow');