blur

As the question says, I'm looking for a way to plot blurred points using Matplotlib. I don't want to plot a set of points and then apply a filter to blurry the whole image. Instead of it, I would like to plot a set of points, each of them with an associated level of blur. Thank you in advance. Here's another work around. You can display an image at each location instead of a marker using a BboxImage . That way you can blur or manipulate the image any way you want. This tutorial has more about BboxImages . import matplotlib.pyplot as plt from scipy import ndimage from matplotlib.image import

there are questions here same as the above topic but didn't get an answer i have a layout here i need to use the image as the same in top layout for bottom one but with blur style set alpha does not help - text views also affect how to blur the background of the down layout xml here <?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:layout_width="match_parent" android:layout_height="match_parent" android:background="#ffffff"> <LinearLayout android:layout_width="match_parent" android:layout_height="match_parent" android

I am new to android and I want to blur image on finger touch. I have searched some example but I found like based on seek bar value whole image get blurred. But I want something like I can set radius of finger touch and then based on that touch, that portion of image get blurred. MYANSWER MainActivity1.java here,MainActivity.java file contains bitmap that is passed from MainActivity.java . public class MainActivity1 extends Activity implements OnClickListener { // button private ImageButton opacityBtn; // custom view private DrawingView drawView; private Object bmpimg; private ImageButton

I want to detect how blurred an image is, may be It can be called "blur extend". I found a useful paper for this: http://www.cs.cmu.edu/~htong/pdf/ICME04_tong.pdf I used OpenCV and implemented all steps from this paper, but the result is not same as result from this paper. Can someone give me any advise for detecting "blur extend"? ErmIg You can detect a blurring image with using next algorithm: Convert the image into gray format. Calculate the maximal absolute second derivative from the gray image (for every point): d[x,y] = max(abs(2*d[x,y] - d[x,y+1] -d[x,y-1]), abs(2*d[x,y] - d[x+1,y] -d[x

I am trying to use an Ajax search\suggest box. I use jQuery to handle the textbox losing focus. However, when I click on a link in the suggestion list jQuery fires the blur event and the link is not followed. Here is the jQuery code: $(document).ready(function() { $('#lstxt').click(function() { this.value = ''; }); $('#lstxt').blur(function() { this.value = 'Database Search'; document.getElementById('ls').innerHTML=''; document.getElementById('ls').style.border='0px'; }); }); How do I get it to not fire .blur if a link is being clicked inside the suggestion list (id="ls_table")? var global

Is there a way to apply a Gaussianblur or median smoothing filter to a mat of floating points while supplying a mask of pixels that should be ignored? could you please help me? ty. You can do this by: Zeroing out the regions outside the mask Smooth the image and the mask Divide each pixel in the smoothed image with the value of the smoothed mask The division in step 3 compensates for the black pixels introduced by masking. This works because the smoothed mask is darkened in the same way as the smoothed masked image. Yeah, so i figured it out. I had to define my own gaussian smoothing procedure