Results 101 to 110 of about 335,064 (318)
A Fully Unsupervised Texture Segmentation Algorithm
, 2003 This paper presents a fully unsupervised texture segmentation algorithm by using a modified discrete wavelet frames decomposition and a mean shift algorithm.
Fauzi, Mohammad F. A. +5 more
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Fuzzy clustering based transition region extraction for image segmentation
Engineering Science and Technology, an International Journal, 2018 Transition region based approaches are recent hybrid segmentation techniques well known for its simplicity and effectiveness. Here, the segmentation effectiveness depends on the robust extraction of transition regions.
Priyadarsan Parida, Nilamani Bhoi
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Salt & pepper noise impact on image coding based on image splitting
Communications, 2000 The paper deals with the influence of noise and two control parameters on a segmentation method for image coding. Dynamic min_max criterion and variance criterion were used as segmentation control parameters.
Milan Karpf, Boris Simak
doaj +1 more source
Colour Text Segmentation in Web Images Based on Human Perception [PDF]
, 2007 There is a significant need to extract and analyse the text in images on Web documents, for effective indexing, semantic analysis and even presentation by non-visual means (e.g., audio).
Karatzas, Dimosthenis +3 more
core +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
FEBS Open Bio, EarlyView.Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation
Applied Computational Intelligence and Soft Computing, 2016 One challenge of unsupervised MRI brain image segmentation is the central gray matter due to the faint contrast with respect to the surrounding white matter.
Hong-Yuan Wang, Fuhua Chen
doaj +1 more source
Hypothesis-based image segmentation for object learning and recognition
, 2010 Denecke A. Hypothesis-based image segmentation for object learning and recognition. Bielefeld: Universität Bielefeld; 2010.This thesis addresses the figure-ground segmentation problem in the context of complex systems for automatic object recognition as ...
Denecke, Alexander
core
Automatic skin segmentation for gesture recognition combining region and support vector machine active learning [PDF]
, 2006 Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the skin segmentation problem for gesture recognition.
A. Sutherland +7 more
core +1 more source