![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
A modified adaptive differential evolution algorithm for color image segmentation
Image segmentation is an important low-level vision task. It is a perceptual grou** of pixels based on some similarity criteria. In this paper, a new differential evolution (DE) algorithm, modified adaptive ...
-
Chapter and Conference Paper
Statistical Features Based Noise Type Identification
In this paper, a new technique for automatically identifying the type of noise in digital images has been proposed. Our statistical features based noise Type identification scheme uses machine learning to dist...
-
Article
Machine learning and directional switching median-based filter for highly corrupted images
In this paper, two-stage machine learning-based noise detection scheme has been proposed for identification of salt-and- pepper impulse noise which gives excellent detection results for highly corrupted images...
-
Chapter and Conference Paper
Segmentation of Brain Tumor Tissue Using Marker Controlled Watershed Transform Method
Medical imaging makes use of the technology to noninvasively reveal the internal structure of the human body. By using medical imaging modalities patient’s life can be improved through a precise and rapid trea...
-
Chapter and Conference Paper
Automated Requirements Elicitation for Global Software Development (GSD) Environment
Global software development (GSD) outsourcing is a modern business strategy for producing high quality software at low cost. Most of the problems in Global software development (GSD) occur due to the lack of c...
-
Chapter and Conference Paper
Gabor Based Gender Classification with Classifier Independent Feature Selection
The study presents an efficient gender classification technique. The gender of a facial image is the most prominent feature, and improvement in the existing gender classification methods will result in the hig...
-
Article
A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal
In this paper, a hybrid image restoration technique based on fuzzy logic and directional weighted median is presented. The proposed technique consists of noise detection and fuzzy filtering processes to detect...
-
Article
Fuzzy entropy based optimization of clusters for the segmentation of lungs in CT scanned images
In this paper, we have proposed a method for segmentation of lungs from Computed Tomography (CT)-scanned images using spatial Fuzzy C-Mean and morphological techniques known as Fuzzy Entropy and Morphology bas...
-
Chapter and Conference Paper
Bayesian Classification Using DCT Features for Brain Tumor Detection
Mortality rate by the brain tumor was very high some years before. But now this rate is decreased in the recent years due to the earlier diagnosis and proper treatment. Chances of the long survival of the pati...