The Water and Wastewater Treatment System Market is experiencing robust growth driven by escalating urbanization, stringent environmental regulations, and increasing water scarcity concerns worldwide.

The Water Proofing Agents Market is experiencing robust growth driven by increasing infrastructure investments, rising urbanization, and stringent building codes emphasizing durability and ...

Abstract: Water-land segmentation faces significant challenges due to land-water interface heterogeneity. Existing methods based on spatially constrained statistical models often yield unsatisfactory ...

Water hyacinth (Eichhornia crassipes) is among the world’s most aggressive invasive aquatic weeds. Its rapid proliferation forms thick floating mats that block sunlight, deplete dissolved oxygen, ...

To address the engineering challenge of detecting fine cracks on hybrid wind turbine towers, especially against complex water seepage backgrounds, this study aims to explore optimal image segmentation ...

Aiming at the problem of localised fading features of ancient ceramic decorations and the presence of noise in the image, a dynamic range extension Retinex with a multi-stage watershed segmentation ...

An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow) ...

Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

Every protein in the body is encased in a water shell that directs protein structure, provides vital stability and steers function. Because of this, water molecules represent a powerful but largely ...

Abstract: In order to overcome the problem of over-segmentation, a novel algorithm of watershed segmentation based on morphological gradient reconstructing is proposed in this paper. In the algorithm, ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...