def Example_ImSharpening(SpType):
ip = cv2IP.ConvIP()
Img = ip.ImRead(srcImg)
cv2.imshow("original", Img)
DstImg = ip.ImSharpening(Img, SpType)
cv2.imshow("result", DstImg)
del ip
def ImSharpening(self):
def click_event(event, x, y, flags, param):
global sign
if event == cv2.EVENT_LBUTTONDOWN:
sign += 1
if sign >4:
sign = 1
F_UM = CONV.ImSharpening(img, SpType=cv2IP.SharpType(sign), Gain=Scale.get(self.scale_gain), SmType=cv2IP.SmoothType.GAUSSIAN)
CONV.ImWindow(self.__UMTitle)
CONV.ImShow(self.__UMTitle, F_UM)
if event == cv2.EVENT_RBUTTONDBLCLK:
sign -= 1
if sign <1:
sign = 4
F_UM = CONV.ImSharpening(img, SpType=cv2IP.SharpType(sign), Gain=Scale.get(self.scale_gain), SmType=cv2IP.SmoothType.GAUSSIAN)
CONV.ImWindow(self.__UMTitle)
CONV.ImShow(self.__UMTitle, F_UM)
global sign
sign = 1
CONV = cv2IP.ConvIP()
try:
img = CONV.ImRead(self.img_path)
except AttributeError:
showinfo("錯誤", "請選擇圖片!")
# img = cv2.resize(img, (640, 480))
else:
while True:
cv2.setMouseCallback(self.__Title, click_event)
CONV.ImWindow(self.__Title)
CONV.ImShow(self.__Title, img)
key = cv2.waitKey(30)
if key == ord('q') or key == 27:
break
def EdgeDetect(self):
def click_event(event, x, y, flags, param):
global sign
if event == cv2.EVENT_LBUTTONDOWN:
sign += 1
if sign >5:
sign = 1
F_ED = CONV.EdgeDetect(img, EdType=cv2IP.EdgeType(sign))
CONV.ImWindow(self.__EDTitle)
CONV.ImShow(self.__EDTitle, F_ED)
if event == cv2.EVENT_RBUTTONDBLCLK:
sign -= 1
if sign <1:
sign = 5
F_ED = CONV.EdgeDetect(img, EdType=cv2IP.EdgeType(sign))
CONV.ImWindow(self.__EDTitle)
CONV.ImShow(self.__EDTitle, F_ED)
global sign
sign = 1
CONV = cv2IP.ConvIP()
try:
img = CONV.ImRead(self.img_path)
except AttributeError:
showinfo("錯誤", "請選擇圖片!")
# img = cv2.resize(img, (640, 480))
else:
while True:
cv2.setMouseCallback(self.__Title, click_event)
CONV.ImWindow(self.__Title)
CONV.ImShow(self.__Title, img)
key = cv2.waitKey(30)
if key == ord('q') or key == 27:
break
def Example_Smooth(smType):
ip = cv2IP.ConvIP()
img = ip.ImRead(srcImg)
ip.ImShow("original image", img)
outImg = ip.Smooth2D(img, 5, smType)
ip.ImShow("smoothed image -5", outImg)
outImg = ip.Smooth2D(img, 15, smType)
ip.ImShow("smoothed image -15", outImg)
del ip
def Example_ImConv2D_Prewitt():
ip = cv2IP.ConvIP()
Img = ip.ImRead(srcImg)
ip.ImShow("original", Img)
src_gray = ip.ImBGR2Gray(Img)
kernels = ip.GetPrewittKernel()
grad_planes = []
for i in range(0, len(kernels)):
grad_planes.append(ip.Conv2D(src_gray, kernels[i]))
grad_planes[i] = cv2.convertScaleAbs(grad_planes[i])
GradImg = cv2.addWeighted(grad_planes[0], 0.5, grad_planes[i], 0.5, 0)
ip.ImShow("Prewitt Images", GradImg)
del ip
def Example_ImConv2D_Kirsch():
ip = cv2IP.ConvIP()
Img = ip.ImRead(srcImg)
ip.ImShow("original", Img)
src_gray = ip.ImBGR2Gray(Img)
kernels = ip.GetKirschKernel()
grad_planes = []
for i in range(0, len(kernels)):
grad_planes.append(ip.Conv2D(src_gray, kernels[i]))
temp_1 = cv2.max(grad_planes[0], grad_planes[1], grad_planes[2])
temp_2 = cv2.max(grad_planes[3], grad_planes[4], grad_planes[5])
temp_3 = cv2.max(grad_planes[6], grad_planes[7])
final = cv2.max(temp_1, temp_2, temp_3)
ip.ImShow("Kirsch Images", final)
del ip
def Example_ImEdge(EdType):
ip = cv2IP.ConvIP()
Img = ip.ImRead(srcImg)
outImg = ip.EdgeDetect(Img, EdType)
if (EdType == cv2IP.EdgeType(1)):
ip.ImShow("Sobel Edge", outImg)
elif (EdType == cv2IP.EdgeType(2)):
ip.ImShow("Canny Edge", outImg)
elif (EdType == cv2IP.EdgeType(3)):
ip.ImShow("Scharr Edge", outImg)
elif (EdType == cv2IP.EdgeType(4)):
ip.ImShow("Laplacian Edge", outImg)
elif (EdType == cv2IP.EdgeType(5)):
ip.ImShow("Color Sobel Edge", outImg)
del ip