位相画像をアンラッピングする演算方法について

11 次查看（过去 30 天）
KT
KT 2022-8-25
编辑： KT 2022-9-27
位相画像を読み込み，画像と二次元hanningフィルタを周波数領域で演算し，位相画像とフィルタ処理された画像を差分することで位相ラップを除去する方法をコード化しました．
しかし，自作フィルタの演算法やフィルタ処理後のcomplexの扱いが悪いのか元画像と変化がなく，位相のアンラッピングができません．
とくに周波数空間におけるlow-pass filteringが違うのではないかと考えています．
圧縮されたデータを貼り付けていますので非常に見苦しいかと存じますが，何卒ご教示頂ければ幸いです．
%% 位相画像読み込み
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[km, kn] = size(alldata);
%% 位相画像を周波数空間へ格納
J = fft2(alldata); %画像に対して 2次元FFT (周波数領域 0 ～ 2*pi)
J = fftshift(J); % 周波数領域を-pi～piとする (中央に)
figure(1), imagesc(20*log10(abs(J))) % パワースペクトル表示
%% フィルタの作成
Kernelsize = 8;
w0 = hanning(Kernelsize)*hanning(Kernelsize)'; % Hanningフィルタ：任意サイズ作成
w = zeros(km, kn);
w((km-Kernelsize)/2:(km+Kernelsize)/2-1, (km-Kernelsize)/2:(km+Kernelsize)/2-1) = w0;
% フィルタ処理
filtered_J = J.*w; % フィルタ処理 (周波数空間フィルタリング)
filtered_J = ifftshift(ifft2(filtered_J)); % 周波数領域を 0 ～ 2*pi に戻す，IFFT処理で空間領域へ変換
figure(2), imagesc(abs(filtered_J))
%% フィルタ処理された演算画像出力
Phase = alldata-filtered_J;
figure(4),imagesc(abs(Phase)) % フィルタ後の画像表示

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