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Shape priors can be very useful in segmentation, mainly when the object to be segmented is corrupted.
When analysing the results of "segment and classify" methods, it is possible to distinguish between errors in segmentation and classification.
These problems could cause serious challenges in segmentation process.
The obtained results demonstrated the significant improved performance in segmentation.
We show that this yields an improvement in segmentation performance.
It is becoming an important step in segmentation for many image processing applications.
Ao (1992) proposes that the ambiguity in segmentation can be solved by reference to morphophonemic alternation.
Much of the recent work focuses on using multiple video features to aid in segmentation.
In segmentation of flame object, its procedure is precisely based on analyzing fire image characteristic.
This is interestingly the combination with the largest discrepancy in segmentation accuracy for CASIA.
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Currently, the built-in segmentation in CGITA includes a threshold-based region-growing method and a fuzzy C-means method.
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