Search results for "segmentation"
showing 10 items of 674 documents
Challenges of automatic processing of large amount of skin lesion multispectral data
2020
This work will describe the challenges involved in setting up automatic processing for a large differentiated data set. In this study, a multispectral (skin diffuse reflection images using 526nm (green), 663nm (red), and 964nm (infrared) illumination and autofluorescence (AF) image using 405 nm excitation) data set with 756 lesions (3024 images) was processed. Previously, using MATLAB software, finding markers, correctly segmenting images with dark edges and image alignment were the main causes of the problems in automatic data processing. To improve automatic processing and eliminate the use of licensed software, the latter was substituted with the open source Python environment. For more …
A Feed-Forward Neural Network for Robust Segmentation of Color Images
1999
A novel approach for segmentation of color images is proposed. The approach is based on a feed-forward neural network that learns to recognize the hue range of meaningful objects. Experimental results showed that the proposed method is effective and robust even in presence of changing environmental conditions. The described technique has been tested in the framework of the Robot Soccer World Cup Initiative (RoboCup). The approach is fully general and it may be successfully employed in any intermediate level image-processing task, where the color is a meaningful descriptor.
A Neural Architecture for 3D Segmentation
2003
An original neural scheme for segmentation of range data is presented, which is part of a more general 3D vision system for robotic applications. The entire process relies on a neural architecture aimed to perform first order image irradiance analysis, that is local estimation of magnitude and orientation of the image irradiance gradient.
Emotions and visitors’ satisfaction at a museum
2014
Purpose – This research aims to investigate whether emotions can be considered as a suitable variable to segment visitors at a museum. Furthermore, it seeks to analyse whether emotions influence visitor satisfaction and whether this depends on objective variables (such as age, gender and level of education) or not. Design/methodology/approach – A structured questionnaire was developed and data were collected at the National Museum of Archaeology “G.A. Sanna” in Sardinia (Italy) via 410 face-to-face interviews. Hierarchical and non-hierarchical cluster analyses and a series of chi-squared tests were run for the purpose of the study. Findings – Two segments were identified. The cluster with …
Destination Attractiveness Drivers among Urban Hostel Tourists: An Analysis of Frustrators and Delighters
2015
This study is based on data from 679 tourists staying at hostel accommodation facilities in Zagreb, a propulsive city-break destination in Central Europe. Besides providing insight into the socio-demographic and behavioural characteristics of hostel tourists, this study uncovers determinant destination attributes influencing their perceptions of destination attractiveness. In particular, impact asymmetry analysis identified potential sources of delight and frustration among hostel tourists. Since the hostel tourist segment, as such, is almost completely unconsidered in contemporary tourism research, partly covered only by a few studies on youth travellers and backpackers, the results of thi…
Adaptive Mid-Term Representations for Robust Audio Event Classification
2018
Low-level audio features are commonly used in many audio analysis tasks, such as audio scene classification or acoustic event detection. Due to the variable length of audio signals, it is a common approach to create fixed-length feature vectors consisting of a set of statistics that summarize the temporal variability of such short-term features. To avoid the loss of temporal information, the audio event can be divided into a set of mid-term segments or texture windows. However, such an approach requires to estimate accurately the onset and offset times of the audio events in order to obtain a robust mid-term statistical description of their temporal evolution. This paper proposes the use of…
A Comparative Study on Fuzzy-Clustering-Based Lip Region Segmentation Methods
2011
As the first step of many lip-reading or visual speaker authentication systems, lip region segmentation is of vital importance. And fuzzy clustering based methods have been widely used in lip segmentation. In this paper, four fuzzy clustering based lip segmentation methods have been elaborated with their underlying rationale. Experiments have been carried out evaluate their performance comparatively. From the experimental results, SFCM has the best efficiency and FCMST has the best segmentation accuracy.
Sequential Lip Region Segmentation Using Fuzzy Clustering with Spatial and Temporal Information
2012
For many visual speech recognition and visual speaker authentication systems, lip region extraction is of vital important. In order to segment the lip region accurately and robustly from a lip sequence, a new fuzzy-clustering based algorithm is proposed. In the proposed method, a new dissimilarity measure is introduced to take all the color, spatial and temporal information into consideration. An iterative optimization method is employed to derive the optimal lip region membership map and the final segmentation result. From the experimental results, it is observed that the proposed algorithm can provide superior results compared with other traditional methods.
Segmentation of low-cost flights users at secondary airports
2010
Abstract Low-cost carrier services are important for many tourist destinations. However, there is little information about the characteristics of travellers using low-cost airlines, and their flight preferences. The typical segmentation of air travellers is business versus leisure travellers; and business versus tourist fares. We use segmentation analysis focusing on low-cost travellers’ valuations of various flight attributes and trip-related characteristics, most notably those related to destinations, based on a sample of foreign travellers who used Girona Airport, Spain.
How to increase company loyalty: using relational variables and sustainable practices to segment the maritime transport sector
2022
Intense competition in goods transportation has highlighted theimportance of understanding customers’interests in order to designsuccessful relationship strategies. This study proposes, through asegmentation approach, to identify customer groups based on theirperceptions of sustainable practices and relational variables abouttheir main transport supplier. From a sample of 122 companies, amultiple correspondence analysis was carried out. The results showthat there are three groups of customer companies, which corres-pond to a high, low, and medium relational and sustainabilityapproach. The identified segments are also significantly different interms of time of operation in the maritime secto…