Update croping_trimming.md

Auto Trimming

docs/croping_trimming.md

@@ -11,28 +11,14 @@ At 50% (camera default cropping factor) this image will be rendered as below:
 
 ![Screenshot 2023-08-18 at 10 38 49](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/b91bac5e-79da-4257-9f44-4ba64aa6478d)
 
-The options of the integration can be of course configured in HA but value 50% is the minimum we can set as per performance wise below this value there could be some issue in Home Assistant. 
-
-![Screenshot 2023-08-18 at 10 44 40](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/993c5728-6652-4079-9eb0-ad6c03ef2b28)
-
-the copping percentage will be 100% = Full image.. therefore the image is scaled.. or cropped to the x% of the original size.
-This mean 0% is no image at all. You can optimize the image so that you get the vacuum map zoomed as closer it is possible.
-As reference, 50% for the image on this guide..
-
 ### Automating Trimming Function:
 
-From v1.3.2 was possible to trim the resulting image after cropping. This option was available till v1.4.9.
-
-![Screenshot 2023-08-18 at 11 13 17](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/b9add7a8-c3ed-4307-8a8e-1778cfb36f1d)
+![Screenshot 2023-08-18 at 10 44 40](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/993c5728-6652-4079-9eb0-ad6c03ef2b28)
 
-The value we specify for the trimming was refer as pixels amount.
-On the test image (cropped at 25%) removing 350 pixels from top of the image we will obtain:
+From v1.3.2 was possible to trim the resulting image after cropping. Cropping and Trimming options was available till v1.4.9. By default from v1.5.0 aorund the image there are 150 pixel of margins, the trimming factor is automatically calculated at camera startup.
 
 ![Screenshot 2023-08-18 at 11 18 24](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/b6d57424-a9f2-4d67-964e-693718cc66a9)
 
-As per this options steps was difficult to use, we simplify it. The margins we want around the image are the only setting to input (default 150 pixels).
-From v1.5.0, the camera will automatically calculate the required trim amount, in the debug log is possible to see the calculated values when the camera startup.
-
 In summary our specification is now:
 1) Trims are automatically calculated by searching the fist pixel not having the background colour in the image. This could be possible that the trims are not perfectly calculated because of the lidar data (above image is an example).
 2) The result image can be rotated, this can result in larger maps.
@@ -42,3 +28,7 @@ It is possible therefore to optimize the view to display the map without, virtua
 
 The calibrations points of the maps will be automatically updated at each map transformations. 
 The robot position and coordinates will not change, meaning that there will be no functional changes for the pre-defined cleaning areas or segments (rooms).
+
+If you want to get the most from the auto cropping and your vacuum support segments, setting the room_0 to the same colour of the background will remove the lidar imperfections.
+
+![Screenshot 2023-12-27 at 13 21 52](https://github.com/sca075/valetudo_vacuum_camera/assets/82227818/b830f3d9-9e60-4206-a03c-146c14f89121)