image-segmentation Questions
2
Solved
During the process of error level analysis on an image, I want to highlight the pixel changes using OpenCV(With just a single image and not the difference). I know the pixel-level values for ...
Ankus asked 8/11, 2019 at 8:45
1
Solved
I need code for counting the number of cells in the image and only the cells that are in pink color should be counted .I have used thresholding and watershed method.
import cv2
from skimage.feat...
Subequatorial asked 7/11, 2019 at 14:39
2
Solved
I am trying to use DBSCAN from scikitlearn to segment an image based on color. The results I'm getting are . As you can see there are 3 clusters. My goal is to separate the buoys in the picture int...
Godhead asked 19/10, 2016 at 22:57
1
Solved
I am trying to build a semantic segmentation model using tensorflow.keras. The dataset that I am using has the images and masks stored in separate directories and each filename has is an id for map...
Army asked 9/6, 2019 at 19:58
3
Solved
I'm reading an image segmentation paper in which the problem is approached using the paradigm "signal separation", the idea that a signal (in this case, an image) is composed of several signals (ob...
Toreutic asked 14/11, 2016 at 19:7
1
I am trying to get a program to detect any hue of black (and some slight gray), but am currently having difficulties trying to find a good upper hue vector (the upper_hue variable) that would allow...
Olatha asked 29/10, 2015 at 1:20
1
Solved
I use Mask-R-CNN to train my data with it. When i use TensorBoard to see the result, i have the loss, mrcnn_bbox_loss, mrcnn_class_loss, mrcnn_mask_loss, rpn_bbox_loss, rpn_class_loss and all the s...
Piderit asked 26/3, 2019 at 14:59
2
Solved
After segmenting an image into N superpixels, I need to specify the superpixels that are adjacent or non-adjacent to one superpixel and determine this relationship for all superpixels.
[L,NumLabel...
Urticaria asked 2/3, 2019 at 14:57
0
Given the dataset of the object, I would like to extract that object from an image.
The object is leaf in my case.
It is easy in these kind of situation where there is only one big leaf in front...
Storfer asked 2/3, 2019 at 5:44
1
I have a label matrix of 256*256 for example. And the classes are 0-11 so 12 classes. I want to convert the label matrix to colour matrix. I tried do it in a code like this
`for i in range(256):
...
Weeds asked 28/2, 2019 at 14:59
2
Solved
I would like to customize deeplab for image segmentation using my own dataset ? Is this achievable by retraining ?
Toponymy asked 19/4, 2018 at 7:22
1
Solved
I have the following Python code, which adds a bounding box around the detected segments
%matplotlib qt
fig, ax = plt.subplots(figsize=(10, 6))
ax.imshow(image_label_overlay)
for region in regions...
Referendum asked 12/12, 2018 at 9:56
2
I am currently trying to implement a convolutional network using Keras 2.1.6 (with TensorFlow as backend) and its ImageDataGenerator to segment an image using a grayscale mask. I try to use an imag...
Belkisbelknap asked 11/11, 2018 at 11:7
3
Solved
I have the following code which is for image segmentation using grabcut opencv. I am using opencv for the first time. I added the opencv library. While others worked perfectly highgui is still show...
Metagenesis asked 18/5, 2015 at 6:43
2
Solved
I'm pretty sure this is a silly question but I can't find it anywhere else so I'm going to ask it here.
I'm doing semantic image segmentation using a cnn (unet) in keras with 7 labels. So my label...
Bruell asked 8/2, 2017 at 16:41
2
I am currently using a modified version of the U-Net (https://arxiv.org/pdf/1505.04597.pdf) to segment cell organelles in microscopy images. Since I am using Keras, I took the code from https://git...
Jeremyjerez asked 9/5, 2018 at 14:5
2
I'm able to train a U-net with labeled images that have a binary classification.
But I'm having a hard time figuring out how to configure the final layers in Keras/Theano for multi-class classifi...
Thacker asked 10/5, 2017 at 18:27
5
Solved
I am dealing with a image classification problem. Before classification, images should be segmented. I tried several methods. My question is "how can i test accuracy of segmentation ?". I plan to c...
Exocentric asked 20/12, 2012 at 14:21
2
Solved
I am trying to solve a semantic segmentation problem. In accordance with the real constraints, the criteria for false positive and the criteria for false negative is different. For instance, if a p...
Layton asked 12/2, 2017 at 18:15
1
Solved
I am training a U-Net in keras by minimizing the dice_loss function that is popularly used for this problem: adapted from here and here
def dsc(y_true, y_pred):
smooth = 1.
y_true_f = K.flatten(...
Hang asked 22/8, 2018 at 19:27
1
Solved
I using Open CV and skimage for document analysis of datasheets.
I am trying to segment out the shade region separately .
I am currently able to segment out the part and number as different clus...
Saltsman asked 6/7, 2018 at 6:2
2
Solved
I am using Python 3.5 and OpenCV 3 to analyze pictures of cells in biology. My pictures look like this:
I want to be able to calculate a ratio of the area of the cell's nucleus to the area of th...
Scabrous asked 31/7, 2018 at 20:35
2
Solved
Total newbie here, I'm using this pytorch SegNet implementation with a '.pth' file containing weights from a 50 epochs training.
How can I load a single test image and see the net prediction?
I kno...
Relucent asked 27/4, 2018 at 13:30
1
I am currently working on keyframe extraction from videos.
Code :
while success:
success, currentFrame = vidcap.read()
isDuplicate = False
limit = count if count <= 10 else (count - 10)
f...
Gunslinger asked 14/3, 2017 at 23:47
2
Solved
I am still struggling with the "shift and stitch" trick in FCN after repeating reading it many times.
Can someone give some intuitional explanation?
Industrial asked 19/11, 2016 at 8:51
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