how to save feature vector of SURF for each image and train, test it for classification to svm?

2019 8 2
1 个回答
回答已采纳
更新时间：2019 8 2
14 次查看（30 天）

0 个投票

output for image 1: 322*64
output for image 2: 593*64
and so on the value*64 changes for each image. can anyone please help me how to save so many features and then use it for training.

请先登录，再回答此问题。

 采纳的回答

KALYAN ACHARJYA
KALYAN ACHARJYA 2019-8-2
编辑：KALYAN ACHARJYA 2019-8-2

0 个投票

"output for image 1: 322*64
output for image 2: 593*64
and so on the value*64 changes for each image. can anyone please help me how to save so many features and then use it for training"
Use cell array, I am answering the question to save different sizes/types results data
I am assuming you are calling Images
result=cells(1,total_images);
%................^Total result images
for i=1:total_images
%image read
result{i}= output result;
end

7 个评论
显示 5更早的评论 隐藏 5更早的评论

KALYAN ACHARJYA
KALYAN ACHARJYA 2019-8-2
编辑：KALYAN ACHARJYA 2019-8-2
Comment to @Madhan, As I have no idea the number of iteration?? Any Clue?
Thanks
KALYAN ACHARJYA
KALYAN ACHARJYA 2019-8-2
编辑：KALYAN ACHARJYA 2019-8-2
@Chetna, that part I have no idea, I never worked on it, but certainly it seems easy steps. it would be better open new question, and experts will answer on it.
chetna kaushal
chetna kaushal 2019-8-2
training = 'image';
filenames = dir(fullfile(training_female, '*.png'));
total_images = numel(filenames);
featureMatrix = [];
for n = 1:total_images
full_name= fullfile(training, filenames(n).name);
training_images = imread(full_name);
training_images=rgb2gray(training_images);
Fpoints = detectSURFFeatures(training_images);
[features, validPoints] = extractFeatures(training_images,Fpoints);
featurematrix{n} = [featureMatrix; features];
suppose I have 8 images.
The featuematrix has 8 cell struct. with different values in a 64 column for each image.
how do i now label them and then use them for classification. how do i call them for testing.

请先登录，再进行评论。

更多回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Get Started with Statistics and Machine Learning Toolbox 的更多信息

产品

标签

Community Treasure Hunt

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

Start Hunting!

Translated by