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A set of operations that process images based on shapes. Erosion d une image binaire option operations apply a structuring element to an input erosion d une image binaire option and generate an output image. The most basic morphological operations are two: They have a wide array of uses, i. We will explain dilation and erosion briefly, using the following image as an example:. This operations consists of convoluting an image with some kernelwhich can have any shape or size, usually a square or circle.
The kernel has a defined anchor pointusually being the center of the kernel. As the kernel is scanned over the image, we compute the maximal pixel value overlapped by and replace the image pixel in the anchor point position with that maximal value.
Take erosion d une image binaire option an example the image above. Applying dilation we can get:. To better grasp the idea and avoid possible confusion, in this another example we have inverted the original image such as the object in white is now the letter. We have performed two dilatations with a rectangular structuring element of size.
This operation is the sister of dilation. What this does is to compute a local minimum over the area of the kernel. As the kernel is scanned over the image, we compute the minimal pixel value overlapped by erosion d une image binaire option replace the image pixel under the erosion d une image binaire option point with that minimal value.
Analagously to the example for dilation, we can apply the erosion operator to the original image shown above.
In the same manner, the corresponding image resulting of the erosion operation on the inverted original image two erosions with a rectangular structuring element of size. You can also download it from here.
Most of the stuff shown is known by you if you have any doubt, please refer to the tutorials in previous sections. The function that performs the erosion operation is erode. As we can see, it receives three arguments:.
This is the kernel we will use to perform the operation. If we do not specify, the default is a simple matrix. Otherwise, we can specify its shape. For this, we need to use the function getStructuringElement:. Then, we just have to specify the size of our kernel and the anchor point. If not specified, it is assumed to be in the center. Additionally, there is another parameter that allows you to perform multiple erosions iterations at once. We are not using it in this simple tutorial, though.
You can check out the Reference for more details. The code is below. As you can see, it is completely similar to the snippet of code for erosion.
Here we also have the option of defining our kernel, its anchor point and the size of the operator to be used. Compile the code above and execute it with an image as argument.
For instance, using this image:. We get the results below. Varying the indices in the Trackbars give different output images, naturally. You can even try to erosion d une image binaire option a third Trackbar to control the number of iterations. Navigation index next previous OpenCV 2.
Apply two very common morphology operators: For this purpose, you will use the following OpenCV functions: Removing noise Isolation of individual elements and joining disparate elements in an image.
Finding of intensity bumps or holes in an image We will explain dilation and erosion briefly, using the following image as an example: Applying dilation we binary options watchdog open a trading account get: The background bright dilates around the black regions of the letter. Load an image can be BGR or grayscale Create two windows one for dilation output, the other for erosion Create a set of 02 Trackbars for each operation: Note Additionally, there is another parameter that allows you to perform multiple erosions iterations at once.
For instance, using this image: Help and Feedback You did not find what you were looking for? If you think something is missing or wrong in the documentation, please file a bug report. This Page Show Source. Last updated on Apr 05, Created using Sphinx 1.