|
|
|
|
|
Yufang Min and Yaonan Zhang
We propose a fast document image thresholding method (FADIT) and evaluations of the two classic methods for demonstrating the effectiveness of FADIT. We put forward two assumptions: (1) the probability of the occurrence of grayscale text and background i...
ver más
|
|
|
|
|
|
|
|
|
Laura Antonelli, Valentina De Simone and Daniela di Serafino
We present a total-variation-regularized image segmentation model that uses local regularization parameters to take into account spatial image information. We propose some techniques for defining those parameters, based on the cartoon-texture decompositi...
ver más
|
|
|
|
|
|
|
|
|
Manikanta Prahlad Manda and Hi Seok Kim
Image thresholding is one of the fastest and most effective methods of detecting objects in infrared images. This paper proposes an infrared image thresholding method based on the functional approximation of the histogram. The one-dimensional histogram o...
ver más
|
|
|
|
|
|
|
|
|
Ching-Hsiang Chiu, Jyh-Der Leu, Tzu-Ting Lin, Pin-Hua Su, Wan-Chun Li, Yi-Jang Lee and Da-Chuan Cheng
Background: The accurate determination of cell confluence is a critical step for generating reasonable results of designed experiments in cell biological studies. However, the cell confluence of the same culture may be diversely predicted by individual r...
ver más
|
|
|
|
|
|
|
|
|
Jairo Eduardo Márquez Díaz
This article shows the results about the development of a digital image processing system for the analysis of non-melanoma cancer and actinic keratosis, whose design starts from the implementation of morphological and filtering algorithms, among others, ...
ver más
|
|
|
|