Anisheh, "An improved adaptive signal segmentation method
using fractal dimension", 10th Int.
Cui, "A new iris segmentation method
for recognition," in Proc.
3 YCgCr color space based gesture segmentation method
From the above table, it can be noted that our proposed segmentation method
provides an overall accuracy of 97.8% in segmenting the Coronal and Sagittal Chest CT images more effectively
 proposed a video object segmentation method
based on super-trajectory representation.
This principle can be applied to the threshold segmentation algorithm (an improved adaptive threshold segmentation method
) by setting the parameter to calculate adaptive and variable thresholds.
Comparing with other threshold segmentation methods
, this improved histogram segmentation method
is more accurate, as shown in Figure 3.
Relying on traditional machine learning methods, these segmentation methods
have achieved great success.
Generally, results show the tendency of the adaptive threshold method to overestimate the volume, while the fixed threshold segmentation method
always underestimates it.
These results show the effectiveness of our segmentation method
compared to the other methods.
The proposed stratified segmentation method
combines hue and hue layer textures to divide scenes, which is theoretically more similar to the human visual mechanism.
In this paper, we propose an automatic juxta-vascular nodule segmentation method
. The multiple features in PETCT images based on an LBF active contour model are used to drive the evolution of a contour curve to stop at the edge of the pulmonary nodule accurately.