Artificial intelligence for digital and computational pathology
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …
including deep learning, have boosted the field of computational pathology. This field holds …
3D indoor scene modeling from RGB-D data: a survey
Abstract 3D scene modeling has long been a fundamental problem in computer graphics
and computer vision. With the popularity of consumer-level RGB-D cameras, there is a …
and computer vision. With the popularity of consumer-level RGB-D cameras, there is a …
Deep convolutional neural networks for pedestrian detection
Pedestrian detection is a popular research topic due to its paramount importance for a
number of applications, especially in the fields of automotive, surveillance and robotics …
number of applications, especially in the fields of automotive, surveillance and robotics …
Segmentation and histogram generation using the HSV color space for image retrieval
We have analyzed the properties of the HSV (hue, saturation and value) color space with
emphasis on the visual perception of the variation in hue, saturation and intensity values of …
emphasis on the visual perception of the variation in hue, saturation and intensity values of …
[图书][B] Evolving fuzzy systems-methodologies, advanced concepts and applications
E Lughofer - 2011 - Springer
In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …
play an important role in many application scenarios such as system identification, fault …
Comparing the performance of L* A* B* and HSV color spaces with respect to color image segmentation
Color image segmentation is a very emerging topic for image processing research. Since it
has the ability to present the result in a way that is much more close to the human yes …
has the ability to present the result in a way that is much more close to the human yes …
Eye tracking for visual marketing
We provide the theory of visual attention and eye-movements that serves as a basis for
evaluating eye-tracking research and for discussing salient and emerging issues in visual …
evaluating eye-tracking research and for discussing salient and emerging issues in visual …
Optimizing two-pass connected-component labeling algorithms
We present two optimization strategies to improve connected-component labeling
algorithms. Taking together, they form an efficient two-pass labeling algorithm that is fast and …
algorithms. Taking together, they form an efficient two-pass labeling algorithm that is fast and …
Oil spill detection using machine learning and infrared images
The detection of oil spills in water is a frequently researched area, but most of the research
has been based on very large patches of crude oil on offshore areas. We present a novel …
has been based on very large patches of crude oil on offshore areas. We present a novel …
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma
to reconstruct high-quality images with limited information from one input image, especially …
to reconstruct high-quality images with limited information from one input image, especially …