However, we found that the aforementioned features lead to very good segmentations for the whole range of OFs that we investigated.
This algorithm does not require image partitioning and can yield good segmentation results for uneven light images.
In the new method, GLF-GLS cost very little time (Table 1) and for DE-GLS, it not only costs little time, but also has a very good segmentation result, especially for some singular information, such as corners and edges of the image.
This means that we need a laborious process of trial and error for setting the state number to obtain a good segmentation; it is infeasible for genome analysis to select an appropriate state number in each gene.
It demonstrated that, for unsupervised classification problems, histogram thresholding is a suitable method for achieving good segmentation results with a low computation complexity for a wide class of images [4, 10].
Other industries where NPD would meet the criteria for good segmentation include biotechnology and medical devices.
Here, we fix v = 0.002 × 2552 since the good segmentation results are obtained for most of the experiments in this paper.
From Fig. 5, the RCC-Net produces qualitatively good segmentations, even for the scenes which are heavily cluttered.
Actually in most cases, the foreground and background blocks collected from a single fingerprint are statistically separable, and thus, a good segmentation performance can be achieved for this single fingerprint image.
By using the Berkeley segmentation data set with realistic images, the proposed method is demonstrated to take the least computational time for achieving fairly good segmentation performance in various image types.
