Mitochondria exist as a network of interconnected organelles undergoing constant fission and fusion. Current approaches to study mitochondrial morphology are limited by low data sampling coupled with manual identification and classification of complex morphological phenotypes. Here we propose an integrated mechanistic and data-driven modeling approach to analyze heterogeneous, quantified datase...

Spatial relations are an important component of image content, that proved to be useful for recognition of individual objects and for image understanding. Indeed, spatial relations provide structural information about the scene, which is often more stable that individual object characteristics, can help disambiguating objects of similar appearance, and is often available as prior knowledge. A t...

The method of analyzing data known as Discrete Mathematical Analysis (DMA) incorporates fuzzy mathematics and logic. This paper focuses on applying DMA to study the morphology time series by utilizing language mathematics. morphological characteristics series, such background, slopes, vertices, are considered sets within domain its definition. allows for use logic in examining ultimately leadin...

Helium (He) concentration depth profiles of evolving tungsten (W) nanostructures have been measured for the first time using in situ Elastic Recoil Detection (ERD) throughout plasma irradiation. Exposures resulting in fuzzy and non-fuzzy surfaces were analyzed in order to illuminate the role of He during the development of these surface morphologies. ERD was performed on samples with surface te...

Automatic road detection from high resolution satellite images has been an active research topic in the past decades. Different solutions are proposed to detect road object such as: fusion-based, fuzzy-based, mathematical morphology, model-based approach, dynamic programming and multi-scale grouping. In this paper, a new fuzzy segmentation method is proposed which is optimized by particle swarm...

A novel scheme for restoration of color images is presented. The proposed scheme has two phases; in the first phase it detects the pixels corrupted with impulse noise by employing the tools of mathematical morphology and the degree of noisiness is labeled by a fuzzy membership function. Subsequent phase uses a linear weighted filter that attempts to reduce noise in an efficient manner. Experime...

High-resolution commercial imaging satellite such as IKONOS provides an important new data sources for urban mapping and geographic information systems (GIS) applications. This paper presents a fuzzy mathematical morphology method for automated extraction of urban road networks from IKONOS imagery. In this proposed method, the road networks in a complex urban scene are firstly modeled, followed...

To prevent blindness from diabetic retinopathy, periodic screening and early diagnosis are neccessary. Due to lack of expert ophthalmologists in rural area, automated early exudate (one of visible sign of diabetic retinopathy) detection could help to reduce the number of blindness in diabetic patients. Traditional automatic exudate detection methods are based on specific parameter configuration...

To overcome the shortcomings of falling into local optimal solutions and being too sensitive to initial values of the traditional fuzzy C-mean clustering algorithm, a weighted fuzzy C-means (FCM) clustering algorithm based on adaptive differential evolution (JADE) is proposed in this paper. To consider the particular contributions of different features, a ReliefF algorithm is used to assign the...