I want to use the function cv2.connectedComponents to connect components on a binary image, like the following... I have added the feature to cv2. connectedComponents to eliminate elements with ...

I am looking for an example of how to use OpenCV's connectedComponentsWithStats() function in Python. Note this is only available with OpenCV 3 or newer. The official documentation only shows the A...

Setup Let's assume the following undirected graph: import networkx as nx G = nx.from_edgelist([(0, 3), (0, 1), (2, 5), (0, 3)]) G.add_nodes_from(range(7)) or even adding the (1, 3) edge (it does...

Action To cluster points based on distance and label using connected components. Problem The back and forth switching between NetworkX nodes storage of attributes and Pandas DataFrame Seems too ...

My input is a list of lists. Some of them share common elements, eg. L = [['a','b','c'],['b','d','e'],['k'],['o','p'],['e','f'],['p','a'],['d','g']] I need to merge all lists, that share a commo...

Is it by design that you must pass cv2.connectedComponentsWithStats a white-on-black image as opposed to a black-on-white image? I get different results doing one versus the other. Example Code: ...

I have a gray scale image with values between 0 (black) and white (255). I have a target matrix of the same size as the gray scale image. I need to start at a random pixel in the gray scale image a...

I'm writing a function get_connected_components for a class Graph: def get_connected_components(self): path=[] for i in self.graph.keys(): q=self.graph[i] while q: print(q) v=q.pop(0) if no...

How to implement connected component labeling in python with open cv? This is an image example: I need connected component labeling to separate objects on a black and white image.

GraphX comes with an algorithm for finding connected components of a graph. I did not find a statement about the complexity of their implementation. Generally, finding connected components can be...

I am using the measure.regionprops method available in scikit-image to measure the properties of the connected components. It computes a bunch of properties (Python-regionprops). However, I just ne...

In matlab you can use cc = bwconncomp(bimg); pixels = cc.PixelIdxList{i} To get pixel list of each connected components. What's the python equivalent? I tried from skimage import measure labe...

I'm trying to find the connected components for friends in a city. My data is a list of edges with an attribute of city. City | SRC | DEST Houston Kyle -> Benny Houston Benny -> Charles Houston...

My table has account_id and device_id. One account_id could have multiple device_ids and vice versa. I am trying to count the depth of each connected many-to-many relationship. Ex: account_id | d...

I am trying to use connected components but having issue with scaling. My Here is what I have - // get vertices val vertices = stage_2.flatMap(x => GraphUtil.getVertices(x)).cache // get edges...

We're currently trying to detect the object regions in medical instruments images using the methods available in OpenCV, C++ version. An example image is shown below: Here are the steps we're fol...

I have a matrix with values 0 or 1 and I would like to obtain a list of groups of adjacent 1's. Vertical and horisontal neighbors of each 1 are considered when defining the connected groups. For ex...

I would like to find all the connected components of a graph where the components have more than one element. using the clusters gives the membership to different clusters and using cliques does n...

Real-world problem: I have data on directors across many firms, but sometimes "John Smith, director of XYZ" and "John Smith, director of ABC" are the same person, sometimes they're not. Also "John...

I have been trying to find all connected components using 8 neighbors in a binary image, without using the function "bwlabel". For example, my input matrix is: a = 1 1 0 0 0 0 0 1 1 0 0 1 1 0 ...

In C#, I have class Pair{ int val1; int val2; } I have a list of pairs coming from a source as:- List<Pair> sList = new List<Pair>(); 1 | 2 2 | 3 1 | 4 4 | 6 I need to con...