Satellite image fusion for land cover classification by Tsan, Li Ling

“…Through the remote sensing techniques using Synthetic Aperture Radar(SAR), SAR images are pre-processed and later segmented to produce the segmentation maps which gives the land cover classification. …”
Get full text

Smooth object retrieval using a bag of boundaries by Arandjelović, R, Zisserman, A

“…The descriptors are tolerant to scale changes, segmentation failures, and limited viewpoint changes. …”

Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Using regional purity can simultaneously prevent under-segmentation and over-segmentation problems during clustering. …”
Get full text

Automatic cardiac ventricular boundary detection by Cheng, Jierong

“…The final segmentation to find the actual LV boundary in long-axis echocardiographic images is carried out using a Markovian level set method. …”
Get full text

Elementwise overparameterisation for single and multi-task learning by Ribli, Vincent

“…In the field of autonomous vehicles, computer vision is used to solve multiple tasks such as semantic segmentation and object tracking. This can be challenging as the tasks need to be done at a high performance within a given latency threshold. …”
Get full text

Automatic and efficient long term arm and hand tracking for continuous sign language TV broadcasts by Pfister, T, Charles, J, Everingham, M, Zisserman, A

“…<br> Our contributions are (i) a co-segmentation algorithm that automatically separates the signer from any signed TV broadcast using a generative layered model; (ii) a method of predicting joint positions given only the segmentation and a colour model using a random forest regressor; and (iii) demonstrating that the random forest can be trained from an existing semi-automatic, but computationally expensive, tracker. …”

Discovering objects and their location in images by Sivic, J, Russell, BC, Efros, AA, Zisserman, A, Freeman, WT

“…It is demonstrated that this extended vocabulary gives a cleaner image segmentation. Finally, the classification and segmentation methods are applied to a set of images containing multiple objects per image. …”

Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

“…With a few reasonable assumptions, this stage was achieved with 3 image processing techniques, namely background subtraction by codebook method, skin segmentation and contour convexity finding. To enhance the robustness of the system, a variant codebook method had been created to be used in skin segmentation. …”
Get full text

Design and development of image processing algorithms for quantitative road traffic data analysis by Krishnalal Puthiya Veettil.

“…Results comparison between different segmentation methods was performed to check the best detection method. …”
Get full text

Investigation of the image processing algorithms for medical applications by Nurul Hidayah Abdul Manan

“…Different segmentation techniques are used (i.e. K-means clustering, Fuzzy-C means clustering and Hierarchical clustering) to evaluate the performance.…”
Get full text

Exposing digital image forgeries by detecting discrepancies in motion blur by Kakar, Pravin, Ser, Wee, Sudha, N.

“…Experimental results show that our technique provides good segmentation of regions with inconsistent motion blur. …”
Get full text
Get full text

Image processing using neural network for auto-scoring system by Ruan, Zhendui.

“…Image processing comprises of image retrieval, segmentation and features extraction as well as classical statistical and modern classification techniques. …”
Get full text

Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Therefore, I designed a muscle segmentation technique which is capable of differentiating muscle and debris regions. …”
Get full text

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. …”
Get full text

An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure by Seo, Bokyoung, Jung, Jueun, Han, Donghyeon, Lee, Kyuho

Get full text

Self-pretraining of 3D transformer variations with masked autoencoders for multiple instances in medical image analysis by Li, Linyuan

“…My experimental results show that self-supervised pre-training based on MAE markedly improves diverse downstream tasks including MRI brain tumor segmentation, abdominal CT multi-organ segmentation, chest X-ray disease classification and breast cancer detection.…”
Get full text

A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar by Zuo, Jia

“…In prior research, some studies have leveraged Long Short-Term Memory (LSTM) networks or one-dimensional Convolutional Neural Networks (1D CNNs) for waveform segmentation, with limited success in recovering high-resolution waveforms. …”
Get full text

Computer aided diagnoses for detecting the severity of Keratoconus by Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq

“…The method had four main steps: preprocessing, image segmentation, morphological processing, and pathological ratio calculation. …”
Get full text

A platform-based product family design methodology for leverage differentation and cost benefits by Cai, Yanling

“…This thesis proposes an integrated framework within the scenario of market segmentation, which decides the inter-platform leverage against platform differentiation and the intra-platform design towards the minimal production cost.…”
Get full text

Road sign recognition for assisting drivers by Poon, Wai Chung

“…In this paper, color segmentation is applied in YCbCr color space and shape detection is processed through blob analysis method. …”
Get full text