decode_structured_light_pattern — 对使用结构光设置获取的相机图像进行解码。
decode_structured_light_pattern(CameraImages : : StructuredLightModel : )
decode_structured_light_pattern decodes the camera images
CameraImages that have been previously acquired with a structured
light setup. The correspondence images and other intermediate results that
are created by the decoding process are stored in the model
StructuredLightModel and can be accessed afterwards using the
operator get_structured_light_object。
In the following, the decoding process is explained in detail:
As mentioned in gen_structured_light_pattern the first purpose is to
find out whether a pixel is in a region where a light stripe is reflected or
where a dark stripe is reflected. To simplify this decision process the
normalization images are used and a locally varying threshold is
determined that is able to cope with objects of varying reflectance and
lighting conditions.
During the decoding of the acquired camera images all Gray code images are
then compared with the previously calculated threshold. A pixel within the
image is classified as bright if its gray value is greater or
equal this threshold.
Furthermore, the pattern region is segmented during the decoding process.
The segmentation is controlled by the parameter
'min_gray_difference'
(see set_structured_light_model_param).
Assuming that n Gray code images have been processed, we get a n-bit binary code for each pixel. From this sequence the row and column coordinates up to of the monitor can be derived.
If the StructuredLightModel is a hybrid system consisting not only
of Gray code images but also of phase shift images
(see gen_structured_light_pattern), the next step is to decode the
latter ones. The result is a subpixel-precise correspondence image between
the monitor coordinates and the camera coordinates that contains the
information which camera pixel observes which monitor pixel.
If the 'pattern_type' of the StructuredLightModel is set to
'single_stripe', the first step in the decoding process is to
decide which single stripe shed its light on a camera pixel. The Gray code
sequence and phase are then used to refine the position within the
found single stripe.
In real world setups it may occur that the detected Gray code sequence of a pixel is wrong. This can then lead to values in the correspondence images which represent monitor rows or columns larger than the monitor width and height. To avoid these problems, the last step of the decoding process is to remove these values from the correspondence images.
此算子修改后续输入参数的状态：
在执行此算子时，若该参数值需在多个线程间使用，则必须对其访问进行同步。
CameraImages (输入对象) (multichannel-)image(-array) → object (byte / uint2)
Acquired camera images.
StructuredLightModel (输入控制，状态被修改) structured_light_model → (handle)
Handle of the structured light model.
* Create the model
create_structured_light_model ('deflectometry', StructuredLightModel)
* Set the size of the monitor
set_structured_light_model_param (StructuredLightModel, \
'pattern_width', 1600)
set_structured_light_model_param (StructuredLightModel, \
'pattern_height', 1200)
* Set the smallest width of the stripes in the pattern
set_structured_light_model_param (StructuredLightModel, \
'min_stripe_width', 8)
* Generate the patterns to project
gen_structured_light_pattern (PatternImages, StructuredLightModel)
* Set the expected black/white contrast in the region of interest
set_structured_light_model_param (StructuredLightModel, \
'min_gray_difference', 70)
* Decode the camera images
decode_structured_light_pattern (CameraImages, StructuredLightModel)
* Get the computed correspondences and defects
get_structured_light_object (CorrespondenceImages, StructuredLightModel, \
'correspondence_image')
set_structured_light_model_param (StructuredLightModel, 'derivative_sigma', \
Sigma)
get_structured_light_object (DefectImage, StructuredLightModel, \
'defect_image')
算子 decode_structured_light_pattern 返回值 2 (
H_MSG_TRUE)
if the given parameters are valid. 否则，将抛出异常。
create_structured_light_model,
set_structured_light_model_param
三维计量