大脑提取每一个体素26领域的matlab代码

最新推荐文章于 2023-09-01 15:17:35 发布

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最新推荐文章于 2023-09-01 15:17:35 发布

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文章标签： matlab

原文链接：https://yq.aliyun.com/articles/357718

本文介绍了一种基于三维矩阵数据的处理算法，通过遍历不同坐标点并计算相邻位置的数据相似度来优化时间序列数据，实现了对特定区域内数据的高效处理。

%-------------- outer loop

for x= 1:40

    for y =1:48

        for z =1:34

       %----------inter loop  

        x=20;

        y=30;

        z=15;

            k = 1;

            for ztmp =-1:1

                z_ztmp = z+ztmp;

                if z_ztmp <1 || z_ztmp >34

                   continue;

                end

                for ytmp =-1:1

                    y_ytmp = y+ytmp;

                   if y_ytmp <1 || y_ytmp >48

                       continue;

                   end

                    for xtmp =-1:1

                       if  xtmp == 0 && ytmp == 0 && ztmp ==0

                           continue;

                       end

                       x_xtmp = x+xtmp;

                       if x_xtmp <1 || x_xtmp >48

                            continue;

                       end

                        index = 40*48*(z+ztmp-1)+40*( y+ytmp-1)+(x+xtmp);

                        if index <1 || index >27524

                            continue;

                        end

                        data(k,:) = full_nt_matrix(index , :);

                        k = k+1;

                    end                     

                end  

            end    

           %% --------处理data

            l = size(data,1);

            if l <=1

                continue;

            end

            index = 40*48*(z-1)+40*(y-1)+x;

            time_series = full_nt_matrix(index,:);

            j = 1;

            for i=1:l

                r = corr2(time_series,data(i,:));

                if r>0.5

                    sim_data(j,:) = data(i,:);

                    j = j+1;

                end

            end

            l = size(sim_data,1);

            if l>0

                result_time_series = sum( sim_data,1)/9;

            end
 
           tmp_V(x,y,z,:) = result_time_series;

          %---------inter loop

        end

    end
end