Update README.md

README.md

@@ -180,7 +180,7 @@ ImageJ macros and scripts written at the imaging facility MRI. Have a look at th
 <img align='right' src="https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/assets/7602420/3a385362-8f52-4711-9e3f-d28c14c8548d" height='100'/> The tool measures the mean distance between the minima in the profile plot. 
 #### [MRI_DoG_Filter](https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/MRI_DoG_Filter)
 
-<img align='right'  src="https://camo.githubusercontent.com/45ee7567107da46ec5967dea62e16f3505256fe35e5efbd54cc3c81012841114/687474703a2f2f6465762e6d72692e636e72732e66722f6174746163686d656e74732f646f776e6c6f61642f323331372f646f672e706e67" height='100'/> The DoG-filter is a bandpass filter. It is calculated as: Gauss_s1(img) - Gauss_s2(img) where img is the input image, Gauss_s1 is a Gaussian-filter with sigma s1 and Gauss_s2 is a Gaussian-filter with sigma s2 (s2>s1). 
+<img align='right'  src="https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/assets/7602420/a3bd19be-bc10-40e1-af8f-c1dfc0576f0f" height='100'/> The DoG-filter is a bandpass filter. It is calculated as: Gauss_s1(img) - Gauss_s2(img) where img is the input image, Gauss_s1 is a Gaussian-filter with sigma s1 and Gauss_s2 is a Gaussian-filter with sigma s2 (s2>s1). 
 #### [Find_and_Subtract_Background_Tool](https://github.com/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/Find_and_Subtract_Background_Tool)
 
 <img align='right' src="https://camo.githubusercontent.com/fff7a01f22b1ae644811fad5c6b00c47353f4f52/687474703a2f2f6465762e6d72692e636e72732e66722f6174746163686d656e74732f646f776e6c6f61642f323139322f696d6167652d7365726965732e706e67" height='100'/> The tool finds the background intensity value and subtract it from the current image. It searches for the maximum intensity value around pixels that are below or equal to the minimum intensity in the image plus an offset.