morphological-analysis

English lemmatizer databases?

由 二次信任 提交于 2020-01-31 18:07:10
问题 Do you know any big enough lemmatizer database that returns correct result for following sample words: geese: goose plantes: //not found Wordnet's morphological analyzer is not sufficient, since it gives the following incorrect results: geese: //not found plantes: plant 回答1: MorphAdorner seems to be better at this, but it still finds the incorrect result for "plantes" plantes: plante geese: goose Maybe you'd like to use MorphAdorner to do the lemmatization, and then check its results against

Morphological Reconstruction in OpenCV

由 我是研究僧i 提交于 2020-01-21 12:16:48
问题 I'm having some problems during image processing in OpenCV. I have text on my image, and during using opening operation, I'm getting not proper output. The issue is quite similar to that provided in this article: http://www.cpe.eng.cmu.ac.th/wp-content/uploads/CPE752_06part2.pdf. What I can see, people suggest to use reconstruction operations in that cases. My question is if there is any build-in mechanism in OpenCV or some known library/code that implement this? Thank you for help. 回答1: This

OpenCV Watershed : 4 point connectivity

由 。_饼干妹妹 提交于 2019-12-23 04:45:38
问题 I am writing a code for watershed in OpenCV. But i want the watershed boundaries to be 4 point connected and not 8 point. Currently this is the interface: void watershed(InputArray image, InputOutputArray markers) Does anybody have any solution for this? Also, is there any simple way to perform morphological watershed in opencv for automatic over-segmentation, the current one takes user input? 回答1: OpenCV help for watershed does not explicitly explain the connectivity used in the function. It

Flood filling for number plate recognition

由 梦想与她 提交于 2019-12-18 08:58:23
问题 I have a number plate which is a binary image. I performed dilation to the image to thicken the edges then "flood filling", lastly erosion for thinning: But i want my output to be like this: Can anyone help me, please? And show me how to get the desired output. ab=imread('test1.png'); level=graythresh(ab); ab=im2bw(ab,level); se=strel('disk',1); ab=imdilate(ab,se); ab=imfill(ab,'holes'); ab=bwmorph(ab,'thin',1); ab=imerode(ab,strel('line',3,90)); figure();imshow(ab,[]); title('floodFilling');

opencv morphological dilation filter as maximum filter

由 眉间皱痕 提交于 2019-12-08 05:30:17
问题 Like the definition of median filter, I can define "maximum filter" as for a local window e.g. dst(x,y) = max(3x3 local window pixels) But I cannot find such a filter in opencv, the closest one is "dilate" function Then I use the default configuration of "dilate" function, but the result is incorrect compare to my brute force implementation of the maximum filter. I found that for 3x3 case, the equivalent dilate configuration is to use a 1x1 rectangular structure element, that is dilate(src,

relabeling pixels based on distance between object's centerline and boundary

由 怎甘沉沦 提交于 2019-12-08 02:53:56
问题 I've a binary image containing an object as illustrated in the figure below. The centerline of the object is depicted in red . For each pixel belonging to the object, I would like to relabel it with a color. For instance, pixels whose orthogonal distance to the centerline are half of the distance to the object boundary from the centerline, should be labeled blue , otherwise green . An illustration is given below. Any ideas? Also, how could I fit a 1D gaussian centered in the object centerline

relabeling pixels based on distance between object's centerline and boundary

由 旧街凉风 提交于 2019-12-06 11:51:23
I've a binary image containing an object as illustrated in the figure below. The centerline of the object is depicted in red . For each pixel belonging to the object, I would like to relabel it with a color. For instance, pixels whose orthogonal distance to the centerline are half of the distance to the object boundary from the centerline, should be labeled blue , otherwise green . An illustration is given below. Any ideas? Also, how could I fit a 1D gaussian centered in the object centerline and orthogonal to it? The image in full resolution can be found under: http://imgur.com/AUK9Hs9 Here

Given a contour outlining the edges of an 'S' shape in OpenCV/Python, what methods can be used to trace a curve along the center of the shape?

由 时间秒杀一切 提交于 2019-12-03 14:05:05
问题 Given a contour outlining the edge of the letter S (in comic sans for example), how can I get a series of points along the spine of this letter in order to later represent this shape using lines, cubic spline or other curve-representing technique? I want to process and represent the shape using 30-40 points in Python/OpenCV. Morphological skeletonization could help with this but the operation always seems to produce erroneous branches. Is there a better way to collapse the contour into just

Given a contour outlining the edges of an 'S' shape in OpenCV/Python, what methods can be used to trace a curve along the center of the shape?

由 ↘锁芯ラ 提交于 2019-12-03 05:02:05
Given a contour outlining the edge of the letter S (in comic sans for example), how can I get a series of points along the spine of this letter in order to later represent this shape using lines, cubic spline or other curve-representing technique? I want to process and represent the shape using 30-40 points in Python/OpenCV. Morphological skeletonization could help with this but the operation always seems to produce erroneous branches. Is there a better way to collapse the contour into just the 'S' shape of the letter? In the example below you can see the erroneous 'serpent's tongue' like

Morphological Reconstruction in OpenCV

由 家住魔仙堡 提交于 2019-12-02 02:37:43
I'm having some problems during image processing in OpenCV. I have text on my image, and during using opening operation, I'm getting not proper output. The issue is quite similar to that provided in this article: http://www.cpe.eng.cmu.ac.th/wp-content/uploads/CPE752_06part2.pdf . What I can see, people suggest to use reconstruction operations in that cases. My question is if there is any build-in mechanism in OpenCV or some known library/code that implement this? Thank you for help. This answer arrives late, but here is the basic algorithm for under-reconstruction: Inputs are two images:
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