python 處理映像(綠色亮度)

標籤：

# coding=utf-8import Imageimport osimport csvimport numpy as np# openimg_path = r"G:\kangyufeng\pics"def myimage(img_path):    try:        img_list = os.listdir(img_path)    except:        print ‘not a document‘        return    Bigm = 0.01    for img in img_list:        if "tif" in img:            print img            im = Image.open(img_path+‘\\‘+img)            #im.save("%s%s"%(img.split(".")[-2],‘.jpeg‘))            w,l=im.size            source = im.split()            R,G,B = 0,1,2            S = 0                        count = 1            mtr = np.array(source[G])            mtr.transpose()                        mtr = mtr[l/2-300:l/2+300]            mtr = mtr.reshape(1,w*600)            print len(mtr[0])            mmean = mtr.mean()                        print mmean            for i in mtr[0]:                if i > mmean/10:                    S += i                    count += 1            m = S/count            if Bigm < m:                Bigm = m            print m,count                        with open("%s%s%s%s" % (img_path,‘\\‘,img_path.split(‘\\‘)[-1],‘_results.csv‘),‘ab‘) as f: #如果不使用‘ab‘方式只用’a‘會產生多餘空行                f = csv.writer(f,dialect=‘excel‘)                f.writerow([img,str(m),str(float(m)/Bigm*float(img_path.split(‘_‘)[-1]))+‘Mmol/L‘])        else:            if ‘csv‘ not in img:                myimage(img_path+‘\\‘+img)myimage(img_path)

python 處理映像(綠色亮度)

python 處理映像(綠色亮度)