How to extract a feature vector of size 256 from Local Binary pattern (LBP ) Image?

8 次查看（过去 30 天）
Unqua Laraib
Unqua Laraib 2020-6-30
回答： Gayathri 2024-11-6，6:45
I had done enough literature on LBP but i guess i still fail to understand it completely. According to my understanding when LBPH is applied on an image it returns a feature vector of size 1x256 i.e. the feature vector contians the frequency of gray levels (from 0-255) in the image. Ive tried many LBP codes i found online and i dont understand what it returns.
Simple what i want is a feature vector of size 1x256 when LBP is applied on an image.
Please guide me and provide the source code (code is much needed)
ive followed this code by ImageAnalyst : https://in.mathworks.com/matlabcentral/answers/15774-local-binary-pattern-lbp#comment_687497 but i dont know what is the final feature vector

请先登录，再回答此问题。

回答（1 个）

Gayathri
Gayathri 2024-11-6，6:45
Hello @Unqua Laraib,
LBP is a simple and grayscale invariant texture descriptor measure for classification. The length of the extracted feature depends on the size of the image and does not always have to be a 256-length vector.
MATLAB provides a function “extractLBPFeatures” to find the LBP features without coding it explicitly. We can obtain the LBP features a follows.
features = extractLBPFeatures(I)
where I is the input image.
For more information on the “extractLBPFeatures” function and examples associated with it, please refer to the following link.https://www.mathworks.com/help/vision/ref/extractlbpfeatures.html
Hope you find this information helpful.

类别

在 Help Center 和 File Exchange 中查找有关 LBP - Local Binary Patterns 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by