With the rapid development of various technologies of satellite sensor, synthetic aperture
radar (SAR) image has been an import source of data in the application of change detection …

Image segmentation has considered an important step in image processing. Fuzzy c-means
(FCM) is one of the commonly used clustering algorithms because of its simplicity and …

Accurate image segmentation is a prerequisite to conducting an image analysis task, and
the complexity stemming from the semantic diversity plays a pivotal role in image …

Pulmonary emphysema is a condition characterized by the destruction and permanent
enlargement of the alveoli of the lungs. The destruction of gas-exchanging alveoli causes …

Interval type-2 fuzzy c-means (IT2FCM) clustering algorithm can describe more uncertainty
than fuzzy c-means (FCM) clustering algorithm by using two fuzzifiers to construct a more …

Accurate segmentation is the basis of object detection, computer vision and other fields.
However, the complexity of images, together with the existence of noise and other image …

Selective image segmentation is one of the most significant subjects in medical imaging and
real-world applications. We present a robust selective segmentation model based on local …

Fuzzy c‐means (FCM) is a time‐honored method for its simplicity of calculation and ease of
understanding. However, the previous image segmentation work exploiting FCM could not …

Breast cancer is the most common form of cancer in women and the second leading cause
of cancer death in this group. It is difficult, however, to diagnose cancer. Clusters of …

This paper proposes a superpixel spatial intuitionistic fuzzy C-means (SSIFCM) clustering
algorithm to address the problems of misclassification, salt and pepper noise, and …