Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

A great number of improved fuzzy c-means (FCM) clustering algorithms have been widely used for grayscale and color image segmentation. However, most of them are time-consuming and unable to provide ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

In this paper, we present a two steps segmentation method. The first consists in color image quantization by genetic algorithm based clustering method where variable string length and fitness function ...

About Built a Python-based system to detect and analyze dominant colors in images using OpenCV, NumPy and Matplotlib. Applied histogram-based segmentation and clustering techniques to extract visual ...

Built a Python-based system to detect and analyze dominant colors in images using OpenCV, NumPy and Matplotlib. Applied histogram-based segmentation and clustering techniques to extract visual ...