Capillary non-perfusion (CNP) in the retina is a characteristic feature used in the management of a wide range of retinal diseases. There is no well-established computation tool for assessing the extent of CNP. We propose a novel texture segmentation framework to address this problem. This framework comprises three major steps: pre-processing, unsupervised total variation texture segmentation, ...

Both categorization and segmentation processes play a crucial role in face perception. However, the functional relation between these subprocesses is currently unclear. The present study investigates the temporal relation between segmentation-related and category-selective responses in the brain, using electroencephalography (EEG). Surface segmentation and category content were both manipulated...

Introduction The texture is " A measure of the variation of the intensity of a surface, quantifying properties such as smoothness, coarseness, and regularity. " Textures are homogenous visual patterns in a scene such as grass, cloud, wood, and sand. Although the stated definition is an acceptable one, Zucker and Kant described the textures as: "Texture is an apparently paradoxical notion. On th...

The CAD system employs automatic tumor segmentation, texture feature extraction and characterization into Normal malignant and benign tumors. The CT liver image will be classified automatically by probabilistic neural network and texture features. The liver segmentation process will be done by region growing method. The fuzzy c means clustering is used here for effective segmentation to diagnos...

It is meaningful to develop the automation segmentation of rice planthopper pests based on imaging technology in precision agriculture. However, rice planthopper images affected by light and complicated backgrounds in open rice fields make the segmentation difficult. This study proposed a segmentation approach of rice planthopper images based on the Markov random field to conduct effective segm...

1077-3142/$ see front matter 2011 Elsevier Inc. A doi:10.1016/j.cviu.2011.04.001 ⇑ Corresponding author. E-mail address: [email protected] (Y. Efficient and effective image segmentation is an important task in computer vision and pattern recognition. Since fully automatic image segmentation is usually very hard for natural images, interactive schemes with a few simple user inputs are...

This dissertation investigates computational issues of feature extraction and image organization at different levels. Boundary detection and segmentation are studied extensively for range, intensity, and texture images. We developed a range image segmentation system using a LEGION network based on a similarity measure consisting of estimated surface properties. We propose a nonlinear smoothing ...