scikit-image

Scan a folder having multiple images to find the darker images

由 邮差的信 提交于 2019-12-10 12:20:41
问题 I have a folder having bunch of images, out of which few images are almost dark like this: Dark Images, and few images are good images like this: Good images Basically i am able to identify the darker images by using the below code, for the darker images the np.mean(image) comes below 0.1, and for good images it comes above 0.1 range: from skimage import io, img_as_float import numpy as np image = io.imread('C:/Data/Testing/Image_0_5.jpg') image = img_as_float(image) print(np.mean(image)) But

How to detect circlular region in images and centre it with Python?

由 时光怂恿深爱的人放手 提交于 2019-12-10 12:06:47
问题 I have a figure flame of the form shown below: I am trying to detect the outer edge of the camera's view and centre the figure so that circular view of the flame is exactly at the centre of the plot. As the position of the circle might change with the image capture date. Sometimes it might be at the upper half, sometimes lower half, etc. Are there any modules in Python that can detect the view and centre it? Reproducible code import numpy as np import matplotlib.pyplot as plt import

Unexpected output while converting RGB image to LAB image

由 青春壹個敷衍的年華 提交于 2019-12-10 11:46:36
问题 I am trying to extract the LAB a-channel of a 32-bit RGB image. However I fail to read the image correctly and I get unexpected results. import cv2 org = cv2.imread('42.png', -1) print org.dtype # print uint8 lab_image = cv2.cvtColor(org, cv2.COLOR_RGB2LAB) l,a,b = cv2.split(lab_image) cv2.imshow('', a) cv2.waitKey(0) Original image: http://labtools.ipk-gatersleben.de/images/42.png Expected output (ImageJ): http://labtools.ipk-gatersleben.de/images/imagej_out.png OpenCV output: http:/

Black space in GLCM image

由 為{幸葍}努か 提交于 2019-12-10 11:00:32
问题 I'm trying to calculate some textural measures using the GLCM described by Haralick (energy, homogeneity, etc.) for a series of 4 band (R, G, B, NIR) aerial photographs that I have. I have tried this on a subset but am ending up with an image that is mostly blank. My current understanding is that it has to do with the greyscaling and the levels parameter but I can't figure it out. My date is very large (several GB) so I'm trying to be efficient by using the module RIOS (reads an image in as a

Trouble importing filters using skimage

由 假如想象 提交于 2019-12-10 10:56:32
问题 I have been using the Skimage package for quite a while in Python 2.7. Recently I upgrade my Ubuntu to 14.10 And now I can not import filters (used to be filter) from the Skimage package. Python 2.7.9 (default, Apr 2 2015, 15:33:21) [GCC 4.9.2] on linux2 Type "copyright", "credits" or "license()" for more information. >>> from skimage import filters Traceback (most recent call last): File "<pyshell#0>", line 1, in <module> from skimage import filters File "/usr/local/lib/python2.7/dist

How can i solve a memory error of python scikit image function color.rgb2gray()?

由 风格不统一 提交于 2019-12-10 10:37:34
问题 I'm working in python with many images. While I'm analyzing this when I use: from skimage import color from skimage import io img = color.rgb2gray(io.imread(path)) I get this error: Traceback (most recent call last): File "C:\wamp\www\NewIESP\FUNZIONApy\up1feature.py", line 180, in <module> updatefeatures(infile) File "C:\wamp\www\NewIESP\FUNZIONApy\up1feature.py", line 43, in updatefeatures temp = compareup1features.comparison(path) File "C:\wamp\www\NewIESP\FUNZIONApy\compareup1features.py"

RuntimeWarning: Cannot provide views on a non-contiguous input array without copying

由 允我心安 提交于 2019-12-10 10:04:59
问题 when using skimage I get the following error: win = skimage.util.view_as_windows(x, windowSize, windowShift) C:\Program Files\Anaconda2\lib\site-packages\skimage\util\shape.py:247: RuntimeWarning: Cannot provide views on a non-contiguous input array without copying. warn(RuntimeWarning("Cannot provide views on a non-contiguous input " as far I understood this is because x is a non contiguous array. I think I solved the problem adding in my code np.ascontiguousarray as below: win = skimage

crop image in skimage?

由 眉间皱痕 提交于 2019-12-09 12:18:54
问题 I'm using skimage to crop a rectangle in a given image, now I have (x1,y1,x2,y2) as the rectangle coordinates, then I had loaded the image image = skimage.io.imread(filename) cropped = image(x1,y1,x2,y2) However this is the wrong way to crop the image, how would I do it in the right way in skimage 回答1: This seems a simple syntax error. Well, in Matlab you can use _'parentheses'_ to extract a pixel or an image region. But in Python, and numpy.ndarray you should use the brackets to slice a

ImportError: cannot import name '_validate_lengths'

由 荒凉一梦 提交于 2019-12-09 00:19:24
问题 I have started learning Tensorflow. I am using Pycharm and my environment is Ubuntu 16.04. I am following the tutorial. I cross check the nump. It is up-to-date. I don't know the reason of this error. from numpy.lib.arraypad import _validate_lengths ImportError: cannot import name '_validate_lengths' Need hint to resolve this error. Thank you. import tensorflow as tf from skimage import transform from skimage import data import matplotlib.pyplot as plt import os import numpy as np from

Align x-ray images: find rotation, rotate and crop

由 左心房为你撑大大i 提交于 2019-12-08 19:22:37
I want in the x-ray image below to (by using Python): identify the rotation of the (imperfect) rectangle block rotate the image so that it is in vertical (portrait form) remove by cropping the remaining white space I guess this partly the reverse of this question where the tools are most likely identical with the addition of a corner detector . I'm not entirely sure of how to best approach this and it seems like a problem that someone has solved. Martin Evans This can be done using the Python bindings to the OpenCV library. The following code has been adapted from something I had already, so
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