フィルターのクリア

How to show its results

2 ビュー (過去 30 日間)
shafaq nisar
shafaq nisar 2017 年 6 月 4 日
コメント済み: KSSV 2017 年 6 月 5 日
I have downloaded this code from internet. It gives (Error using svmtrain (line 259) TRAINING and Y must both contain at least one row with no missing values.
Error in svm_test (line 41) SVMStruct = svmtrain(arrayImage, class);) How to remove this error?
I want to show result in the form of image, how to do this? (it did not show any output)
clear all;
clc;
folder = 'RandomNoisrData';
dirImage = dir( folder );
numData = size(dirImage,1);
M ={} ;
%Read image data
for i=1:numData
nama = dirImage(i).name;
if regexp(nama, '(DNoise|RNoise)-[0-2]{1,2}.jpg')
B = cell(1,2);
if regexp(nama, 'Noise-[0-2]{1,2}.jpg')
B{1,1} = double(imread([folder, '/', nama]));
B{1,2} = 1;
elseif regexp(nama, 'VNoise-[0-2]{1,2}.jpg')
B{1,1} = double(imread([folder, '/', nama]));
B{1,2} = -1;
end
M = cat(1,M,B);
end
end
% Image conversion for SVM purposes
numDataTrain = size(M,1);
class = zeros(numDataTrain,1);
arrayImage = zeros(numDataTrain, 300 * 300);
for i=1:numDataTrain
im = M{i,1} ;
im = rgb2gray(im);
im = imresize(im, [300 300]);
im = reshape(im', 1, 300*300);
arrayImage(i,:) = im;
class(i) = M{i,2};
end
SVMStruct = svmtrain(arrayImage, class);
% Test for Random Noise
lionTest = double(imread('RandomNoiseData/TestImage3.jpg' ));
lionTest = rgb2gray(lionTest);
lionTest = imresize(lionTest, [300 300]);
lionTest = reshape(lionTest',1, 300*300);
result = svmclassify(SVMStruct, lionTest);
result;
Please help
  1 件のコメント
KSSV
KSSV 2017 年 6 月 5 日
You have not given input properly....I suspect...

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 ExchangeImage Data Workflows 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