We propose a random forest classifier for identifying adequacy of liver MR images using
handcrafted (HC) features and deep convolutional neural networks (CNNs), and analyze the …

This paper describes a photometric stereo method designed for surfaces with spatially-
varying BRDFs, including surfaces with both varying diffuse and specular properties. Our …

Hand segmentation is a prerequisite for many gesture recognition tasks. Color has been
widely used for hand segmentation. However, many approaches rely on predefined skin …

Micro X-ray computed tomography (XCT) is an emerging technology that has found many
applications in biology and the study of materials. Synchrotron-based micro computed …

This chapter presents a survey on the techniques of medical image segmentation. Image
segmentation methods are given in three groups based on image features used by the …

The Expectation Maximization (EM) algorithm and the clustering method Fuzzy-C-Means
(FCM) are widely used in image segmentation. However, the major drawback of these …

In this paper, we propose a hybrid approach for fully automatic liver segmentation in
Computed Tomography (CT) data. The approach consists of four stages: first, an intensity …

Image classification techniques are used to classify different features available in the image.
The objective of image classification is to identify the features occurring in an image in terms …

A novel color image segmentation method based on finite Gaussian mixture model is
proposed in this paper. First, we use EM algorithm to estimate the distribution of input image …

This thesis approaches the problem of non-photorealistic rendering by identifying segments
in the image plane and filling them using algorithms to render in artistic styles. Using …