#!/usr/bin/env python
# coding: utf-8

# This notebook serves testing if rectangular images are shown properly

# In[1]:


import stackview
from skimage.io import imread, imshow
from skimage.filters import gaussian, threshold_otsu, sobel
from skimage.measure import label


# In[2]:


image = imread('data/Haase_MRT_tfl3d1.tif')[:,80:120,:80]


# In[3]:


stackview.insight(image)


# When working with small images, the view may be suboptimal.

# In[4]:


image.shape


# In[5]:


stackview.slice(image)


# In[6]:


s = stackview.slice(image)
s.data = image
s


# In[7]:


stackview.slice(image[60])


# In[8]:


stackview.curtain(image[60], gaussian(image[60], sigma=5))


# In[9]:


stackview.curtain(image, gaussian(image, sigma=5))


# In[10]:


slice_image = imread('data/blobs.tif')

from skimage.filters import threshold_otsu
binary = (slice_image > threshold_otsu(slice_image))


# In[11]:


stackview.curtain(slice_image, binary, continuous_update=True)


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