The successful application of univariate morphological operators on several domains, along
with the increasing need for processing the plethora of available multivalued images, have …

In today's fuzzy community, the blending of fuzzy model and deep learning has become one
hot topic for the development of more sophisticated and high-powered fuzzy systems. In this …

Since the mortality rate of breast cancer in women is gradually increasing, a well-designed
computer-aided diagnosis (CAD) system can assist doctors in early diagnosis of the breast …

It is difficult to extend a grayscale morphological approach to color images because total
vector ordering is required for color pixels. To address this issue, we developed a kind of …

In HSV color space, the current vector morphological operators have low capability to
reduce color noise caused by hue and saturation in color image processing. Because they …

The proposed method is the cancer detection in mammogram images based on adaptive
mathematical morphology and fuzzy logic approach. The mathematical morphology is a …

In the present work are investigated 12 histogram and statistical features for analysis of
leather surface images. A research of the features suitability for surface defects detection is …

This paper presents a vector median filter that incorporates mechanism for the detection of
impulses from color images. The vector pixels in a specified window is ranked on the basis …

A hardware implementation of a fuzzy processor suitable for morphological color image
processing applications is presented for the first time. From the hardware point of view, only …

An interval-valued fuzzy cerebellar model neural network (IV-FCMNN) is proposed for the
identification and control of uncertain systems. It is a more general model that uses the …