フィルターのクリア

problem with size of output extractLBPFeatures inbuilt function.

2 ビュー (過去 30 日間)
fred bnm
fred bnm 2018 年 4 月 5 日
コメント済み: ali 2020 年 3 月 30 日
for an image in size 480x640 after using extractLBPFeatures function, output is an 1*59 single. for training a neural network such as MLP, that is better input layer less than 59. how to reduce output.
img = imread('trainimage.jpg');
features = extractLBPFeatures(img);
  1 件のコメント
ali
ali 2020 年 3 月 30 日
You can reduce features by Principle Component Analysis (PCA).
in matlab there is pca() function. google it.

サインインしてコメントする。

回答 (0 件)

カテゴリ

Help Center および File ExchangeDimensionality Reduction and Feature Extraction についてさらに検索

Community Treasure Hunt

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

Start Hunting!

Translated by