图像处理图像过滤器
当应用二值化、灰度、棕褐色等滤波器或将图像倾斜一定程度时，数字图像的属性（例如 dct 系数、像素值、YCbCr 等）是否保持不变。如果您能建议任何有关基本图像处理的阅读或在线教程，也会很有帮助。
Are there properties of digital images (e.g. dct coefficients, pixel values, YCbCr, others) that remain constant when filters like binarization, grayscale, sepia, etc, or tilting the image by a certain degree are applied. It would also be helpful if you could suggest any reading or online tutorial for basic image processing.
如果你对这篇内容有疑问，欢迎到本站社区发帖提问 参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱，如果其他用户或者作者回复了您的评论，将不能在第一时间通知您！
发布评论
评论（3）
听起来您想知道哪些功能对于各种图像操作都具有鲁棒性。
您列出的属性对于您列出的转换来说并不是不变的。您询问当您应用根据定义修改像素值的过滤器时，“像素值”是否保持不变。关于您的列表的唯一肯定的答案是，当您应用滤色器时，DCT 系数会保持其分布。
我将做出一个假设并建议您阅读功能检测，其目标是识别图像的显着部分，这些部分在缩放、旋转等变换后保持不变。这些功能对于图像拼接、对象检测、按图像查询搜索等非常有用。
It sounds like you want to know what features are robust to all sorts of image operations.
The properties you listed are not invariant to the transforms you listed. You ask if the "pixel values" remain constant when you apply a filter that by definition modifies the pixel values. The only positive answer about your list would be that DCT coefficients maintain their distribution when you apply a color filter.
I'm going to make an assumption and suggest that you should read up on feature detection, where the goal is to identify salient parts of an image that remain constant after a transformation like scaling, rotation, etc. These features are useful for image stitching, object detection, query-by-image search, and lots more.
答：当然：高度和宽度；-)
答：哎哟 - 甚至可能不是高度和宽度；）
无论如何 -
你的问题太宽泛了。
建议：
获取 Foley/van Damm 的副本：
A: Sure: height and width ;-)
A: Whoops - maybe not even height and width ;)
ANYWAY -
Your question is far, far too broad.
SUGGESTION:
Get a copy of Foley/van Damm:
处理图像时，图像的属性（即像素）总是会发生变化。处理简单地意味着改变像素值以便最终从中得到一些东西。
有很多图像处理技术，例如去除噪声、应用滤镜、调整大小、裁剪、边缘检测等。
如果您想从头开始学习，请参阅 鲍勃·鲍威尔。它是用 C# 编写的，非常容易理解。
The properties of an image (i.e. pixels) always change when you process it. Processing simply means changing the pixel values in order to finally get something from it.
There are lots of image processing techniques such as removing noises, applying filters, re-sizing, cropping, edge detection, etc.
If you want to learn from the beginning then see tutorials of Bob Powell. It is in C# and quite easy to understand.