A survey of recent interactive image segmentation methods

H Ramadan, C Lachqar, H Tairi - Computational visual media, 2020 - Springer
Image segmentation is one of the most basic tasks in computer vision and remains an initial
step of many applications. In this paper, we focus on interactive image segmentation (IIS) …

Automatic breast ultrasound image segmentation: A survey

M Xian, Y Zhang, HD Cheng, F Xu, B Zhang, J Ding - Pattern Recognition, 2018 - Elsevier
Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …

Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision

J Luo, T Zhao, L Cao, F Biljecki - Landscape and Urban Planning, 2022 - Elsevier
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …

Research on instance segmentation algorithm of greenhouse sweet pepper detection based on improved mask RCNN

P Cong, S Li, J Zhou, K Lv, H Feng - Agronomy, 2023 - mdpi.com
The fruit quality and yield of sweet peppers can be effectively improved by accurately and
efficiently controlling the growth conditions and taking timely corresponding measures to …

Cfr-icl: Cascade-forward refinement with iterative click loss for interactive image segmentation

S Sun, M Xian, F Xu, L Capriotti, T Yao - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The click-based interactive segmentation aims to extract the object of interest from an image
with the guidance of user clicks. Recent work has achieved great overall performance by …

Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust

S Wang, A Khan, Y Lin, Z Jiang, H Tang… - Frontiers in Plant …, 2023 - frontiersin.org
This study proposes an adaptive image augmentation scheme using deep reinforcement
learning (DRL) to improve the performance of a deep learning-based automated optical …

Understanding the Visual Relationship between Function and Facade in Historic Buildings Using Deep Learning—A Case Study of the Chinese Eastern Railway

P Li, Z Zhao, B Zhang, Y Chen, J Xie - Sustainability, 2023 - mdpi.com
Although functional identifiability represents a key aspect for promoting visual connotation
and sustainable usability in historic building groups, there is still no consensus on how to …

[PDF][PDF] Real-Time Detection and Instance Segmentation of Strawberry in Unstructured Environment.

C Wang, F Ding, Y Wang, R Wu, X Yao… - … Materials & Continua, 2024 - cdn.techscience.cn
The real-time detection and instance segmentation of strawberries constitute fundamental
components in the development of strawberry harvesting robots. Real-time identification of …

融合风格迁移的图像文本编辑方法

梁浩然, 朱泽浩, 梁荣华 - 计算机辅助设计与图形学学报 - jcad.cn
为了满足非美术设计专业的普通用户能够快速在图像上进行字符编辑, 且新生成的字符尽可能地
保持与相邻字符的几何和视觉一致性的要求, 提出一种融合风格迁移的图像文本编辑方法 …

[图书][B] Neutro-connectedness theory, algorithms and applications

M Xian - 2017 - search.proquest.com
Connectedness plays an important role in human cognitive and learning activities. Human
vision system is very sensitive to the connectedness property of objects and effective in …