image-segmentation Questions
3
Solved
I'm writing for Android with OpenCV. I'm segmenting an image similar to below using marker-controlled watershed, without the user manually marking the image. I'm planning to use the regional maxima...
Vision asked 2/7, 2012 at 13:37
2
Solved
I don't quite understand the following:
In the proposed FCN for Semantic Segmentation by Shelhamer et al, they propose a pixel-to-pixel prediction to construct masks/exact locations of objects in...
Smelser asked 8/5, 2018 at 18:9
1
Solved
Does it make sense to combine cross-entropy loss and dice-score in a weighted fashion for a binary segmentation problem ?
Optimizing the dice-score produces over segmented regions, while cross en...
Joellejoellen asked 24/5, 2018 at 20:24
1
tensorflow.metrics.mean_iou() currently averages over the iou of each class. I want to get the iou of only foreground in for my binary semantic segmentation problem.
I tried using weights as tf.co...
Heyward asked 8/4, 2018 at 6:39
2
Solved
I have a black and white image, of a text document. I want to be able to get a list of the bounding boxes for each character. I have attempted an algorithm myself, but it takes excessively long, an...
Hallucination asked 24/4, 2018 at 11:15
0
With respect to the data format given by Carvana Image Masking Challenge, how can we transform it to the tfrecord format that can be feed into the Deeplab V3 model, which can support VOC and Citysc...
Decussate asked 18/4, 2018 at 22:22
2
Solved
I was wondering how to handle not labeled parts of an image in image segmentation using TensorFlow. For example, my input is an image of height * width * channels. The labels are too of the size he...
Verniavernice asked 7/9, 2017 at 13:42
1
I know the imbalance in an image classification problem such as the cat vs dog classification，if there are too many cat images and too few dog images. But I don't know how to adress an imbalance in...
Earldom asked 28/8, 2017 at 7:53
1
Solved
I am attempting to do automatic image segmentation of the different regions of a 2D MR image based on pixel intensity values. The first step is implementing a Gaussian Mixture Model on the image's ...
Eckenrode asked 21/8, 2017 at 20:50
1
Solved
I have a dataset of images that I am trying to segment. For each image in the dataset, experts have randomly selected single pixels/points and added class annotations as to what class that pixel be...
Pettit asked 5/8, 2017 at 1:41
2
Solved
Let's say I have two binary images of the same size. How do I find the intersection between the two binary images? Only pixels of the same coordinate (location) on the two images that are white (gr...
Disgrace asked 29/6, 2012 at 13:2
2
Solved
I have a picture like , which i need to segment the picture into 8 blocks.
I have tried this threshold method
img_gray = cv2.imread(input_file,cv2.IMREAD_GRAYSCALE)
ret,thresh = cv2.threshold(im...
Furey asked 21/7, 2017 at 22:41
1
Solved
I used the interactive grabcut.py from the OpenCV samples to segment an image and saved the foreground and background models. Then I used these models to segment more images of the same kind, as I ...
Bauhaus asked 19/7, 2017 at 15:55
1
Solved
I want to create a custom loss layer for semantic segmentation in caffe that requires multiple inputs. I wish this loss function to have an additional input factor in order to penalize the miss det...
Halliburton asked 18/7, 2017 at 19:16
1
I'm working on implementing a semantic segmentation network in Tensorflow, and I'm trying to figure out how to write out summary images of the labels during training. I want to encode the images in...
Bautram asked 22/3, 2017 at 17:59
2
Solved
How would I go around identifying and extracting rectangles from an image such as the one shown below.
Note that my rectangles might be incomplete and have some missing edges and some sides might...
Faludi asked 31/5, 2017 at 21:39
1
Solved
I have a skeletonized voxel structure that looks like this:
The actual structure is significantly larger than this exampleIs there any way to find the closed rings in the structure?
I tried conv...
Milreis asked 26/4, 2017 at 12:11
5
Solved
I am trying to use cv2.distanceTransform() method in Python. And I am getting an error when running the following line of code:
dist_transform = cv2.distanceTransform(opening,cv2.DIST_L2,5)
I ge...
Permeable asked 4/6, 2014 at 5:4
3
Solved
Is semantic segmentation just a Pleonasm or is there a difference between "semantic segmentation" and "segmentation"? Is there a difference to "scene labeling" or "scene parsing"?
What is the diff...
Catch asked 26/11, 2015 at 22:25
2
Solved
I'm fitting full convolutional network on some image data for semantic segmentation using Keras. However, I'm having some problems overfitting. I don't have that much data and I want to do data aug...
Gott asked 2/7, 2016 at 2:4
2
Solved
I am working with OpenCV on the Android platform. With the tremendous help from this community and techies, I am able to successfully detect a sheet out of the image.
These are the step I used.
...
Buckman asked 24/1, 2014 at 5:12
1
I would like to know of something that will detect all the green branches from the following image
Currently i am starting with applying the Frangi filter
options=struct('FrangiScaleRange', [5 5]...
Hallucinate asked 24/1, 2016 at 2:33
2
I'm trying to implement something like a fully convolutional network, where the last convolution layer uses filter size 1x1 and outputs a 'score' tensor. The score tensor has shape [Batch, height, ...
Keniakenilworth asked 25/4, 2016 at 20:33
1
I have input images which look like this:
I like to segment the images in a way that i get approximated polygons which only contain horizontal an vertical lines.
My first approach was a hough ...
Sherrard asked 12/10, 2016 at 8:4
1
I have a numpy array which represents a segmented 2-dimensional matrix from an image. Basically, it's a sparse matrix with a bunch of closed shapes that are the outlines of the segments of the imag...
Wondering asked 26/8, 2016 at 20:5
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