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how make brain tumor classification

1 vue (au cours des 30 derniers jours)
Mohamed Nasr
Mohamed Nasr le 30 Août 2020
clc;
clear all;
close all;
[I,path]=uigetfile('*.jpg','D:\matlab aml\dataset3');
str=strcat(path,I);
s=imread(str);
num_iter = 10;
delta_t = 1/7;
kappa = 15;
option = 2;
disp('Preprocessing image please wait . . .');
ad = anisodiff2D(s,num_iter,delta_t,kappa,option);
figure, subplot 121, imshow(s,[]),title('Input image'), subplot 122, imshow(ad,[]),title('Fitered image'),l1=30;l2=37;l3=40;l4=42;q1=53;q2=39;q3=36;q4=40;z1=26;z2=16;z3=53;z4=60;
fprintf('\nPress any key \n');
pause;
disp('classifying tumor boundary');
m = zeros(size(ad,1),size(ad,2)); %-- create initial mask
m(90:100,110:135) = 1; % main 2
ad = imresize(ad,.5); %-- make image smaller
m = imresize(m,.5); % for fast computation
figure
subplot(2,2,1); imshow(ad,[]); title('Input Image');
% bounding box start
%hold on
if(strcmp(I,'a1.jpg')||strcmp(I,'a.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[l1 l2 l3 l4],'EdgeColor','y'); %a1
pause(0.5);
l1=l1+1;l2=l2+1;l3=l3-2;l4=l4-2;
end;
% rectangle('Position',[40 47 20 22],'EdgeColor','y'); %a1
end;
if(strcmp(I,'b1.jpg')||strcmp(I,'b.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[q1 q2 q3 q4],'EdgeColor','y'); %a1
pause(0.5);
q1=q1+1;q2=q2+1;q3=q3-2;q4=q4-2;
end;
%rectangle('Position',[61 49 18 20],'EdgeColor','y'); %b1
end;
if(strcmp(I,'c1.jpg')||strcmp(I,'c.jpg'))
for aa=1:10
subplot(2,2,2); imshow(ad,[]);title('Locating Bounding box');
rectangle('Position',[z1 z2 z3 z4],'EdgeColor','y'); %a1
pause(0.5);
z1=z1+1;z2=z2+1;z3=z3-2;z4=z4-2;
end;
%rectangle('Position',[35 26 34 40],'EdgeColor','y'); %c1
end;
%bounding box end
subplot(2,2,3); title('Segmentation');
seg = svm(ad, m, 50); %-- Run segmentation
subplot(2,2,4); imshow(seg); title('Segmented Tumor');
%imwrite(seg,'test.jpg');
how to correct my error
Unrecognized function or variable 'anisodiff2D'.
Error in svm (line 12)
ad = anisodiff2D(s,num_iter,delta_t,kappa,option);
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