data0 = loadtxt(file0) data1 = loadtxt(file1) data0 = data0 - data0.min() data1 = data1 - data1.min() print data0.shape print data1.shape #data0 = data0[:,100:320]; data0 = data0[:, 200:400] ############################################# ## process of the images ############################################# img0 = ImgArray() img0.set('img_array', data0) img1 = ImgArray() img1.set('img_array', data1) nslope = 2 img0.remove_spikes(nslope=nslope) img1.remove_spikes(nslope=nslope) new_mimg, paras = img0.find_match(img1, paras0=None) ############################################# ## plot the images ####################################### data0 = img0.get('img_array') data1 = img1.get('img_array')
############################################## data0 = loadtxt(file0); data1 = loadtxt(file1); data0 = data0-data0.min(); data1 = data1-data1.min(); print data0.shape print data1.shape #data0 = data0[:,100:320]; data0 = data0[:,200:400]; ############################################# ## process of the images ############################################# img0= ImgArray(); img0.set('img_array',data0); img1= ImgArray(); img1.set('img_array',data1); nslope = 2; img0.remove_spikes(nslope=nslope); img1.remove_spikes(nslope=nslope); new_mimg,paras = img0.find_match(img1,paras0=None); ############################################# ## plot the images ####################################### data0 = img0.get('img_array'); data1 = img1.get('img_array'); subplot(2,3,1);