importcv2importnumpy as npfrom PIL importImage, ImageDraw, ImageFont__author__ = "sunjingjing"

#均值滤波

defblur(source):

img= cv2.blur(source, (10,10))

cv2img= cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2和PIL中颜色的hex码的储存顺序不同

pilimg =Image.fromarray(cv2img)

draw= ImageDraw.Draw(pilimg) #图片上打印

font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") #参数1：字体文件路径，参数2：字体大小

draw.text((0, 0), "均值滤波", (255, 0, 0), font=font) #参数1：打印坐标，参数2：文本，参数3：字体颜色，参数4：字体

#PIL图片转cv2 图片

cv2charimg =cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)

cv2.imshow("blur", cv2charimg)#中值滤波

defmedianBlur(source):

img= cv2.medianBlur(source, 3)

cv2img= cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2和PIL中颜色的hex码的储存顺序不同

pilimg =Image.fromarray(cv2img)

draw= ImageDraw.Draw(pilimg) #图片上打印

font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") #参数1：字体文件路径，参数2：字体大小

draw.text((0, 0), "中值滤波", (255, 0, 0), font=font) #参数1：打印坐标，参数2：文本，参数3：字体颜色，参数4：字体

#PIL图片转cv2 图片

cv2charimg =cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)

cv2.imshow("medianBlur", cv2charimg)#方框滤波

defBoxFilter(source):

img= cv2.boxFilter(source, -1, (5,5), normalize=1)

cv2img= cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2和PIL中颜色的hex码的储存顺序不同

pilimg =Image.fromarray(cv2img)

draw= ImageDraw.Draw(pilimg) #图片上打印

font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") #参数1：字体文件路径，参数2：字体大小

draw.text((0, 0), "方框滤波", (255, 0, 0), font=font) #参数1：打印坐标，参数2：文本，参数3：字体颜色，参数4：字体

#PIL图片转cv2 图片

cv2charimg =cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)

cv2.imshow("boxFilter", cv2charimg)#高斯滤波

defGaussianBlur(source):

img= cv2.GaussianBlur(source, (3,3), 0)

cv2img= cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2和PIL中颜色的hex码的储存顺序不同

pilimg =Image.fromarray(cv2img)

draw= ImageDraw.Draw(pilimg) #图片上打印

font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") #参数1：字体文件路径，参数2：字体大小

draw.text((0, 0), "高斯滤波", (255, 0, 0), font=font) #参数1：打印坐标，参数2：文本，参数3：字体颜色，参数4：字体

#PIL图片转cv2 图片

cv2charimg =cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)

cv2.imshow("GaussianBlur", cv2charimg)#高斯边缘检测

defGaussian(source):

sobelX= cv2.Sobel(source,cv2.CV_64F,1,0)#x方向的梯度

sobelY = cv2.Sobel(source,cv2.CV_64F,0,1)#y方向的梯度

sobelX= np.uint8(np.absolute(sobelX))#x方向梯度的绝对值

sobelY = np.uint8(np.absolute(sobelY))#y方向梯度的绝对值

img= cv2.bitwise_or(sobelX,sobelY)# cv2img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) #cv2和PIL中颜色的hex码的储存顺序不同

pilimg =Image.fromarray(cv2img)

draw= ImageDraw.Draw(pilimg) #图片上打印

font = ImageFont.truetype("simhei.ttf", 20, encoding="utf-8") #参数1：字体文件路径，参数2：字体大小

draw.text((0, 0), "高斯边缘检测", "green", font=font) #参数1：打印坐标，参数2：文本，参数3：字体颜色，参数4：字体

#PIL图片转cv2 图片

cv2charimg =cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)

cv2.imshow("GaussianBlur", cv2charimg)if __name__ == "__main__":#加载图片

img = cv2.imread("test2.png")

cv2.namedWindow("input image", cv2.WINDOW_AUTOSIZE)

cv2.imshow("input image", img)

blur(img)

medianBlur(img)

GaussianBlur(img)#Gaussian(img)

cv2.waitKey(0)

cv2.destroyAllWindows()