def run(self, ips, snap, img, para=None):
mark = np.zeros_like(img, dtype=np.uint8)
ips.roi.sketch(mark, color=1)
ridge(img, mark, para['ud'])
if para['type'] == 'white line':
img[:] = mark
if para['type'] == 'gray line':
np.minimum(snap, mark, out=img)
if para['type'] == 'white line on ori':
#img //=2
np.maximum(snap, mark, out=img)
def run(self, ips, snap, img, para=None):
self.ips.lut[:] = self.buflut
ndimg.gaussian_filter(snap, para['sigma'], output=img)
mark = img < para['thr'] if para['ud'] else img > para['thr']
mark = mark.astype(np.uint8)
ridge(img, mark, para['ud'])
if para['type'] == 'white line':
img[:] = mark
if para['type'] == 'gray line':
np.minimum(snap, mark, out=img)
if para['type'] == 'white line on ori':
#img //=2
np.maximum(snap, mark, out=img)
def run(self, ips, snap, img, para=None):
self.ips.lut[:] = self.buflut
img2 = ndimg.gaussian_filter(snap, para['sigma'])
mark = img2 < para['thr'] if para['ud'] else img2 > para['thr']
mark = mark.astype(np.uint8)
ridge(img2, mark, para['ud'])
imgs = []
for i in range(0, 255, 10)[::1 if para['ud'] else -1]:
msk = i > img if para['ud'] else i < img
sl = img.copy()
sl[msk] = mark[msk]
imgs.append(sl)
self.app.show_img(imgs, ips.title + '-ridgesub')
