# FMA175 Image Analysis Project Projektrapport

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Keywords: Morphological filters; Image processing algorithms; MATLAB simulation; These are some basic morphological operations: a) Dilation b) Erosion. 'bothat' ("bottom hat") performs morphological closing (dilation followed by erosion) and subtracts the original image. 'bridge' bridges previously unconnected How to dilate or erode image in Octave. 2014-May-12 ⬩ ✍️ Ashwin Nanjappa ⬩ 🏷️ dilation, erosion, matlab, octave ⬩ Archive. Make sure the image Jun 1, 1998 presents explicit MATLAB implementations of discrete versions of these filters.

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A faster implementation of binary dilation and erosion. The source code and files included in this project are listed in the project files section, please make … J = imclose(I,SE) performs morphological closing on the grayscale or binary image I, returning the closed image, J. SE is a single structuring element object returned by the strel or offsetstrel functions. The morphological close operation is a dilation followed by an erosion, using the same structuring element for both operations. For erosion that means you will take the minimum value between the intensity at current position under inspection and only itself, so there is nothing else to output than the intensity at the current position. This is the same for dilation. To check that, verify any correct text that describes the formulas for erosion and dilation.

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The grayscale dilation of A ( x , y ) by B ( x , y ) is defined as: ( A ⊕ B ) ( x , y ) = max { A ( x − x ′ , y − y ′ ) + B ( x ′ , y ′ ) | ( x ′ , y ′ ) ∈ D B } , Image Erosion without using MATLAB function 'imerode'. In MATLAB, ‘imerode’ is a function used to make the objects thin. MATLAB code without using 'imerode' function and explanation is provided here. The input image is binary.

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Dilation adds pixels to the boundaries of objects in an image, while erosion removes pixels on object boundaries. The number of pixels added or removed from the objects in an image depends on the size and shape of the structuring element used to process the image. In the morphological dilation and erosion operations, the state of any given pixel in the output image is determined by applying a rule to the corresponding pixel EROSION.

For learning more, type doc imdilate in your MATLAB command window. the dilation and erosion by modified convolution with a fixed mask. Gonzalez, R. C., Woods, R. E., and Eddins, S. L.: Digital Image Processing using MATLAB,. The Matlab function imnoise allows you to add different classical noises to an This non-linear filtering is based on two basic operators (erosion and dilation)
Closing (Slutning) = Dilation + Erosion p. 7.

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The morphological close operation is a dilation followed by an erosion, using the same structuring element for both operations. For erosion that means you will take the minimum value between the intensity at current position under inspection and only itself, so there is nothing else to output than the intensity at the current position.

EROSION. Erosion is also very important operator like dilation.

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### FMA175 Image Analysis Project Projektrapport

Erosion is also very important operator like dilation. It shrinks/thin objects in a binary image. Syntax SE =imerode(A,B); The significant purpose of erosion is to: Erosion removes pixels on object boundaries; It Shrinks the window and grows background.