AIMC Topic: Image Processing, Computer-Assisted

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Machine Learning approach to discriminate Saccharomyces cerevisiae yeast cells using sophisticated image features.

Journal of integrative bioinformatics
In biological research, Saccharomyces cerevisiae yeast cells are used to study the behaviour of proteins. This is a time consuming and not completely objective process. Hence, Image analysis platforms are developed to address these problems and to of...

Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Person re-identification in a non-overlapping multi-camera scenario is an open and interesting challenge. While the task can hardly be completed by machines, we, as humans, are inherently able to sample those relevant persons' details that allow us t...

Hierarchical Model Predictive Image-Based Visual Servoing of Underwater Vehicles With Adaptive Neural Network Dynamic Control.

IEEE transactions on cybernetics
This paper proposes a hierarchical image-based visual servoing (IBVS) strategy for dynamic positioning of a fully actuated underwater vehicle. In the kinematic loop, the desired velocity is generated by a nonlinear model predictive controller, which ...

Gradual Reduction in Sodium Content in Cooked Ham, with Corresponding Change in Sensorial Properties Measured by Sensory Evaluation and a Multimodal Machine Vision System.

PloS one
The European diet today generally contains too much sodium (Na(+)). A partial substitution of NaCl by KCl has shown to be a promising method for reducing sodium content. The aim of this work was to investigate the sensorial changes of cooked ham with...

Fuzzy Logic Based Edge Detection in Smooth and Noisy Clinical Images.

PloS one
Edge detection has beneficial applications in the fields such as machine vision, pattern recognition and biomedical imaging etc. Edge detection highlights high frequency components in the image. Edge detection is a challenging task. It becomes more a...

An Automatic Learning-Based Framework for Robust Nucleus Segmentation.

IEEE transactions on medical imaging
Computer-aided image analysis of histopathology specimens could potentially provide support for early detection and improved characterization of diseases such as brain tumor, pancreatic neuroendocrine tumor (NET), and breast cancer. Automated nucleus...

Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, we propose a cost-sensitive local binary feature learning (CS-LBFL) method for facial age estimation. Unlike the conventional facial age estimation methods that employ hand-crafted descriptors or holistically learned descriptors for fe...

Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.

IEEE transactions on cybernetics
Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this pap...

Compositional Dictionaries for Domain Adaptive Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We present a dictionary learning approach to compensate for the transformation of faces due to the changes in view point, illumination, resolution, and so on. The key idea of our approach is to force domain-invariant sparse coding, i.e., designing a ...

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme e...