To yield well-suited image segmentation results, conventional clustering algorithms depend
on customized hand-crafted features as well as an appropriate initialization process. This …

The vanishing point (VP) is particularly important road information, which provides an
important judgment criterion for the autonomous driving system. Existing vanishing point …

Multithreshold segmentation of color images is an important part of modern image
processing. Multithreshold segmentation techniques that use the ideas of optimization in …

Removal of salt and pepper noise has been one of the most interesting researches in the
field of image preprocessing tasks; it has two simultaneous stringent demands: the …

Image segmentation fusion is defined as the set of methods which aim at merging several
image segmentations, in a manner that takes full advantage of the complementarity of each …

This paper presents a general framework for seamlessly combining multiple low cost and
inaccurate estimated segmentation maps (with an arbitrary number of regions) of the same …

Breast cancer is becoming the leading form of cancer among women worldwide, indeed,
there are no effective ways to prevent this disease at present, therefore, it's early screening …

We present an automatic program of blue whale photo-identification for mobile devices. The
proposed technique works in the wavelet domain to reduce the image size and the …

An important aspect should be taken into account, when an image is segmented, the
presence of atypical information. In this investigation an algorithm is proposed that is noise …

In brain medical imaging, magnetic resonance is an important and effective means to
support the computer aided diagnosis. Notwithstanding, inherent conditions such as atypical …