Results 271 to 280 of about 483,454 (329)

Adaptive low-light image enhancement using Interval-Valued Intuitionistic Fuzzy Set optimized by Reptile Search Algorithm. [PDF]

Front Artif Intell
Yogambaram H, Sivabalakrishnan M, Balaji S.   +2 more
europepmc   +1 more source

Multi-resolution tone mapping for high dynamic range medical ultrasound images. [PDF]

PLoS One
Vu TLN, Chandran V, Haberl C, Scherzer O, Binder J.   +4 more
europepmc   +1 more source

Restricted spectrum imaging and diffusion kurtosis imaging for assessing lymph node metastasis in cervical cancer: a histogram analysis-based study. [PDF]

BMC Cancer
Pan J, Wei W, Dai B, Wang Y, Meng N, Jiang B, Bai Y, Chen Q, Chen X, Wang M.   +9 more
europepmc   +1 more source

Efficient blood cell classification from microscopic smear images using U-Net segmentation and a lightweight CNN. [PDF]

Sci Rep
Mondal SK, Talukder MSH, Aljaidi M, Sulaiman RB, Tushar MMS, Alsuwaylimi AA.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Feature histogram equalization for feature contrast enhancement

Journal of Visual Communication and Image Representation, 2015
Discover an inherited characteristic of feature descriptors named feature contrast.Relate feature contrast to the discrimination among the detected feature points.One feature histogram is formed along one dimension of all feature descriptors.Derive an optimal feature histogram equalization algorithm.Apply the above-developed works to feature-point ...
Chen Wang, Kai-Kuang Ma
openaire   +1 more source

Morphological feature extraction with local histogram equalization

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
In this work, success of image feature extraction based on morphological is examined by various histogram equalization techniques. In comparison process, traditional histogram equalization, adaptive histogram equalization and local histogram equalization methods are used.
GÜLTEN, ARİF, Issever, Didem, Catalbas, Mehmet Cem   +2 more
openaire   +2 more sources

Effect of Histogram Equalization in Face Detection Using Spatial Histogram Features

Journal of Convergence Information Technology, 2011
Many information of an object can simultaneously be conserved by histogram based features. Because of the different intensities of pixels and different lighting conditions in an image, histograms which are employed for extracting features are better to be first equalized.
Hamid Parvin -, Hosein Alizadeh -
openaire   +1 more source

Histogram equalization and image feature matching

2013 6th International Congress on Image and Signal Processing (CISP), 2013
The algorithms of image feature matching have good stability with scale, illumination change and rotation. They can be improved continuously in practical application. In the acquisition process of the image, the different conditions make the appearance of the same area seem different in different images.
Liangping Tu, Changqing Dong
openaire   +1 more source

Histogram-Based Image Color Features

2020
A color histogram (CH) in photography and image processing is a depiction of color variation within an image. A color histogram for digital images portrays the pixel number of that have colors in every one of defined color range list, and that include the color model of the image and the collection of all probable colors [1, 2].
Jyotismita Chaki, Nilanjan Dey
openaire   +1 more source

Object detection using spatial histogram features

Image and Vision Computing, 2006
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, they can preserve texture and shape information of an object simultaneously.
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao   +3 more
openaire   +1 more source