Results 81 to 90 of about 43,818 (151)

ANN-based Innovative Segmentation Method for Handwritten text in Assamese [PDF]

K. Bhattacharyya and K. K. Sarma, "ANN-based Innovative Segmentation Method for Handwritten text in Assamese", International Journal of Computer Science Issues, Volume 5, pp9-16, October 2009, 2009
Artificial Neural Network (ANN) s has widely been used for recognition of optically scanned character, which partially emulates human thinking in the domain of the Artificial Intelligence. But prior to recognition, it is necessary to segment the character from the text to sentences, words etc.
arxiv  

NeiEA-NET: Semantic segmentation of large-scale point cloud scene via neighbor enhancement and aggregation

International Journal of Applied Earth Observations and Geoinformation, 2023
3D point cloud semantic segmentation is crucial for 3D environment perception and scene understanding, where learning of local context in point clouds is a crucial challenge.
Yongyang Xu, Wei Tang, Ziyin Zeng, Weichao Wu, Jie Wan, Han Guo, Zhong Xie   +6 more
doaj  

Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions [PDF]

, 2010
Grigore Pintilie, Junjie Zhang, Thomas D. Goddard, Wah Chiu, David C. Gossard   +4 more
openalex   +1 more source

Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation

, 2023
Mahum Naseer, Osman Hasan, Muhammad Shafique   +2 more
openalex   +2 more sources

BRAIN MR IMAGE SEGMENTATION BY MODIFIED ACTIVE CONTOURS AND CONTOURLET TRANSFORM

ICTACT Journal on Image and Video Processing, 2017
Multiresolution analysis is often used for image representation and processing because it can represent image at the split resolution and scale space.
P Nageswara Reddy, C P V N J Mohan Rao, Ch Satyanarayana   +2 more
doaj   +1 more source

Multi-class segmentation of navel orange surface defects based on improved DeepLabv3+

Journal of Agricultural Engineering
To address the problems of current mainstream semantic segmentation network such as rough edge segmentation of navel oranges defects, poor accuracy of small target defect segmentation and insufficient deep-level semantic extraction of defects, feature ...
Yun Zhu, Shuwen Liu, Xiaojun Wu, Lianfeng Gao, Youyun Xu   +4 more
doaj   +1 more source

A Review on Recent Deep Learning-Based Semantic Segmentation for Urban Greenness Measurement

Sensors
Accurate urban green space (UGS) measurement has become crucial for landscape analysis. This paper reviews the recent technological breakthroughs in deep learning (DL)-based semantic segmentation, emphasizing efficient landscape analysis, and integrating
Doo Hong Lee, Hye Yeon Park, Joonwhoan Lee   +2 more
doaj   +1 more source

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation [PDF]

arXiv
The open-vocabulary image segmentation task involves partitioning images into semantically meaningful segments and classifying them with flexible text-defined categories. The recent vision-based foundation models such as the Segment Anything Model (SAM) have shown superior performance in generating class-agnostic image segments.
arxiv  

Flow-free Video Object Segmentation [PDF]

arXiv, 2017
Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient approach for video object segmentation by clustering visually similar generic object segments throughout the video.
arxiv  

MDER-Net: A Multi-Scale Detail-Enhanced Reverse Attention Network for Semantic Segmentation of Bladder Tumors in Cystoscopy Images

Mathematics
White light cystoscopy is the gold standard for the diagnosis of bladder cancer. Automatic and accurate tumor detection is essential to improve the surgical resection of bladder cancer and reduce tumor recurrence.
Chao Nie, Chao Xu, Zhengping Li
doaj   +1 more source