Delve into the implications of AI in architecture: a tool that redefines creativity while risking the depth and intent behind design.

In more detail, I cannot use the "Voronoi-Otsu" method due to installation issues that are prohibitive for a non expert user and the "Watershed" segmentation method yields a strong oversegmentation.

Abstract Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a ...

The one-dimensional Otsu method is an adaptive threshold method. It obtains the optimal threshold for image segmentation by the maximum between-class variance, without considering the minimum ...

Application of Image Segmentation algorithms to understand “How sustainable is the pace of Urbanisation & Net land usage?” scoped on two geographical locations.

Aiming at the issues of complex calculation and low accuracy of two-dimensional (2D) Otsu segmentation images, an image threshold segmentation means of 2D Otsu ground on a modified sparrow search ...