图像扭曲C++实现_图像特定位置缩放c++资源-CSDN文库

共87个文件

tlog：43个

obj：10个

cpp：6个

deformation

image

5星 · 超过95%的资源需积分: 22 142 浏览量 2018-12-17 13:53:27 上传评论收藏 7.89MB RAR 举报

在图像处理领域，"图像扭曲C++实现" 是一个重要的技术点，主要涉及到图像的几何变换。这种技术常用于图像数据增强，目的是通过改变原始图像的几何形状来生成新的图像样本，以增加训练模型时的多样性，提升机器学习或深度学习算法的性能。图像扭曲，也称为图像变形，是通过应用特定的映射函数将图像的像素位置重新定位到新的坐标，以创建一种视觉上的变形效果。在C++中，这一过程通常包括以下步骤： 1. **定义扭曲参数**：这可能包括旋转角度、缩放因子、平移向量或更复杂的非线性变形场。这些参数决定了图像如何被扭曲。 2. **创建扭曲映射**：基于上述参数，建立一个从原始图像像素到新位置的映射关系。这个映射可以是线性的，如仿射变换，也可以是非线性的，如射极线变换或多项式映射。 3. **像素重采样**：使用映射关系，对每个像素进行插值运算以确定其在新图像中的位置。常见的插值方法有最近邻插值、双线性插值和三次卷积插值等，它们会影响扭曲后的图像质量和边缘平滑度。 4. **执行扭曲操作**：根据映射关系，读取原始图像中对应的新位置像素值，并写入到扭曲图像中。这一过程需要考虑边界条件，以避免超出图像边界。 5. **测试与验证**：为了确保图像扭曲的正确性，通常需要编写测试代码，例如对比扭曲前后图像的某些特征，或者使用预设的测试图像进行验证。在"test"和"img_deformation"这两个文件中，"test"可能是测试用例，包含了不同情况下的图像数据，用于验证图像扭曲算法的正确性和效果。而"img_deformation"可能是一个库或程序，实现了图像扭曲功能。你可以通过调用这个库中的函数，传入不同的扭曲参数和输入图像，得到扭曲后的图像。在实际应用中，图像扭曲技术广泛应用于计算机视觉任务，如目标检测、图像识别和自动驾驶等。通过增加图像样本的多样性，可以提高模型对不同几何变形的鲁棒性，从而提升算法的整体性能。

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img_deformation-c++.rar （87个子文件）

test

img_deformation

Release

img_deformation.v11.suo 46KB

img_deformation.sdf 21.5MB

img_deformation.sln 912B

Debug

img_deformation.pdb 3.28MB

img_deformation.exe 317KB

img_deformation.ilk 2.1MB

img_deformation

imgwarp_mls_rigid.h 1KB

imgwarp_mls_similarity.h 1KB

Release

CL.write.1.tlog 5KB

CL.read.1.tlog 57KB

imgwarp_mls_similarity.obj 1.38MB

cl.command.1.tlog 3KB

main.obj 1.38MB

imgwarp_mls_rigid.obj 1.39MB

vc110.pdb 764KB

img_deformation.unsuccessfulbuild 0B

img_deformation.log 40KB

img_deformation.lastbuildstate 104B

imgwarp_mls.obj 1.4MB

img_deformation.vcxproj 6KB

BFS.PNG 68KB

delaunay.h 5KB

delaunay.cpp 2KB

0.tif 768KB

tux.jpg 8KB

imgwarp_mls_rigid.cpp 4KB

imgwarp_piecewiseaffine.cpp 6KB

imgwarp_mls.h 2KB

main.cpp 4KB

180-220-int-02.tif 256KB

imgwarp_mls.cpp 4KB

imgwarp_mls_similarity.cpp 3KB

norm_vector.txt 28KB

img_deformation.vcxproj.filters 2KB

Debug

link.13512.read.1.tlog 2B

link.10328-cvtres.read.1.tlog 2B

link.10328-rc.write.1.tlog 2B

vc110.idb 1.01MB

link.4132-rc.read.1.tlog 2B

CL.write.1.tlog 6KB

link.13512-cvtres.read.1.tlog 2B

CL.read.1.tlog 88KB

link.13512.write.1.tlog 2B

link.13512-rc.write.1.tlog 2B

link.10328.read.1.tlog 2B

link.9820-rc.read.1.tlog 2B

link.9820.read.1.tlog 2B

link.4132-cvtres.read.1.tlog 2B

link.10328.write.1.tlog 2B

imgwarp_mls_similarity.obj 239KB

link.9820-cvtres.write.1.tlog 2B

link.4132.write.1.tlog 2B

link.13512-cvtres.write.1.tlog 2B

link.4132-rc.write.1.tlog 2B

imgwarp_piecewiseaffine.obj 886KB

link.9820.write.1.tlog 2B

cl.command.1.tlog 5KB

link-cvtres.read.1.tlog 2B

link.10328-cvtres.write.1.tlog 2B

link.13512-rc.read.1.tlog 2B

main.obj 694KB

imgwarp_mls_rigid.obj 298KB

link.write.1.tlog 2KB

link.9820-rc.write.1.tlog 2B

link.10328-rc.read.1.tlog 2B

link.6376-rc.read.1.tlog 2B

link-rc.write.1.tlog 2B

link-cvtres.write.1.tlog 2B

link.command.1.tlog 4KB

link-rc.read.1.tlog 2B

link.read.1.tlog 7KB

vc110.pdb 1.79MB

link.6376-cvtres.read.1.tlog 2B

link.6376.read.1.tlog 2B

delaunay.obj 326KB

img_deformation.Build.CppClean.log 7KB

link.4132.read.1.tlog 2B

link.4132-cvtres.write.1.tlog 2B

link.6376-rc.write.1.tlog 2B

link.6376.write.1.tlog 2B

img_deformation.log 2KB

link.6376-cvtres.write.1.tlog 2B

img_deformation.lastbuildstate 102B

link.9820-cvtres.read.1.tlog 2B

imgwarp_mls.obj 302KB

generate_norm_vector.m 676B

imgwarp_piecewiseaffine.h 767B

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