importcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeERR.jpg)ret,maskcv2.threshold(lisa,200,255,cv2.THRESH_BINARY)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()结果:如果背景图与涂鸦颜色相差较大就需要使用 cv2.THRESH_TOZERO_INV对比下THRESH_BINARYimportcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeTest.jpg)# lisa cv2.imread(part.png)ret,maskcv2.threshold(lisa,180,255,cv2.THRESH_BINARY)# ret, mask cv2.threshold(lisa, 40, 255, cv2.THRESH_TOZERO_INV)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()结果:THRESH_TOZERO_INVimportcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeTest.jpg)# lisa cv2.imread(part.png)# ret, mask cv2.threshold(lisa, 180, 255, cv2.THRESH_BINARY)ret,maskcv2.threshold(lisa,45,255,cv2.THRESH_TOZERO_INV)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()黑色像素值较小涂鸦 用 THRESH_TOZERO_INV 效果较好像素值较大 涂鸦 用 THRESH_BINARY 效果较好
importcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeERR.jpg)ret,maskcv2.threshold(lisa,200,255,cv2.THRESH_BINARY)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()结果:如果背景图与涂鸦颜色相差较大就需要使用 cv2.THRESH_TOZERO_INV对比下THRESH_BINARYimportcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeTest.jpg)# lisa cv2.imread(part.png)ret,maskcv2.threshold(lisa,180,255,cv2.THRESH_BINARY)# ret, mask cv2.threshold(lisa, 40, 255, cv2.THRESH_TOZERO_INV)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()结果:THRESH_TOZERO_INVimportcv2importmatplotlib.pyplotasplt plt.rcParams[font.family][Microsoft JhengHei]lisacv2.imread(comeTest.jpg)# lisa cv2.imread(part.png)# ret, mask cv2.threshold(lisa, 180, 255, cv2.THRESH_BINARY)ret,maskcv2.threshold(lisa,45,255,cv2.THRESH_TOZERO_INV)# mask处理, 适度增加要处理的表面kernalcv2.getStructuringElement(cv2.MORPH_RECT,(3,3))maskcv2.dilate(mask,kernal)dstcv2.inpaint(lisa,mask[:,:,-1],5,cv2.INPAINT_NS)# 输出执行结果lisa_rgbcv2.cvtColor(lisa,cv2.COLOR_BGR2RGB)# 将BGR转RGBmask_rgbcv2.cvtColor(mask,cv2.COLOR_BGR2RGB)# 将BGR转RGBdst_rgbcv2.cvtColor(dst,cv2.COLOR_BGR2RGB)# 将BGR转RGBplt.subplot(131)plt.title(原始图像)plt.imshow(lisa_rgb)plt.axis(off)plt.subplot(132)plt.title(Mask图像)plt.imshow(mask_rgb)plt.axis(off)plt.subplot(133)plt.title(图像修复结果)plt.imshow(dst_rgb)plt.axis(off)plt.show()黑色像素值较小涂鸦 用 THRESH_TOZERO_INV 效果较好像素值较大 涂鸦 用 THRESH_BINARY 效果较好
