Manual

Table Of Contents

DobotVisionStudio User Guide

207

2. After the image is loaded, click Feature Extraction to extract the feature. If the feature extraction

is successful, the gray triangle in the lower left corner of the image will turn green, prompting the

end of feature extraction.

3. After the feature extraction is completed, click Create Model to generate the model, and click

Stitch Preview to preview the stitching effect picture.

After the setting is completed, the single camera takes pictures in a fixed order several (stitch number)

times or the multiple cameras take pictures once to complete the stitching, as shown below.

Image Normalization

Merge Type

It includes merge mean, merge min, merge max, and merge uncover.

• Merge mean: It is the default method. After taking the average value of the repeated

area and then complete the merger, usually the effect is better.

• Merge max: Get the maximum value of the coincident image and add it to the

stitched image. It can be used to stitch the bright and dark images in the middle.

• Merge min: Take the minimum value in the coincident image area, and add the

minimum value to the merger image.

• Merge uncover: The stitched image will not be stitched repeatedly, and only the un-

stitched area will be processed to solve the ghost phenomenon in stitching, but the

gradation of the image connection is poor.

Cut Ratio

The range is between 0 and 25. The larger this parameter, the smaller the processing area and

the less time the module runs. This parameter is mainly for the area where the image overlaps

with a large amount.

Auto Clear

• If it is enabled, the input image will be deleted automatically after one stitching of the

image is completed.