Change the estimated background image.
update_bg_esti overwrites the image stored in the current BgEsti data set with the grayvalues of PresentImage within the bounds of UpDateRegion. This can be used for a "hard" adaptation: Image regions with a sudden change in (known) background can be adapted very fast this way.
The passed image (PresentImage) must have the same type and size as the background image of the current data set (initialized with create_bg_esti).
|
PresentImage (input_object) |
image -> object : byte / real |
| Current image. | |
|
UpDateRegion (input_object) |
region -> object |
| Region describing areas to change. | |
|
BgEstiHandle (input_control) |
bg_estimation -> integer |
| ID of the BgEsti data set. | |
/* read Init-Image: */
read_image(InitImage,'Init_Image')
/* initialize BgEsti-Dataset with
fixed gains and threshold adaption */
create_bg_esti(InitImage,0.7,0.7,'fixed',0.002,0.02,
'on',7,10,3.25,15.0,BgEstiHandle)
/* read the next image in sequence: */
read_image(Image1,'Image_1')
/* estimate the Background: */
run_bg_esti(Image1,Region1,BgEstiHandle)
/* use the Region and the information of a knowledge base */
/* to calculate the UpDateRegion */
update_bg_esti(Image1,UpdateRegion,BgEstiHandle)
/* then read the next image in sequence: */
read_image(,Image2,'Image_2')
/* estimate the Background: */
run_bg_esti(Image2,Region2,BgEstiHandle)
/* etc. */update_bg_esti returns 2 (H_MSG_TRUE) if all parameters are correct.
update_bg_esti is reentrant and processed without parallelization.
Background estimation
