1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario registrado en Universia

Opción 1: Descargar recurso

Detalles del recurso


Endoscopic images do not contain sharp edges to segment using the traditional segmentation methods for obtaining edges. Therefore, the active contours or ‘snakes ’ using level set method with the energy minimization algorithm is adopted here to segment these images. The results obtained from the above segmentation process will be number of segmented regions. The boundary of each region is considered as a curve for further processing. The curvature for each point of this curve is computed considering the support region of each point. The possible presence of abnormality is identified, when curvature of the contour segment between two zero crossings has the opposite curvature signs to those of such neighboring contour segments on the same edge contours. The Knearest neighbor classifier is used to classify the images as normal or abnormal. The experiment based on the proposed method is carried out on 50 normal and 50 abnormal endoscopic images and the results are encouraging.

Pertenece a

CiteSeerX Scientific Literature Digital Library and Search Engine  


B. V. Dhandra -  Ravindra Hegadi - 

Id.: 48050719

Idioma: inglés  - 

Versión: 1.0

Estado: Final

Tipo:  application/pdf - 

Palabras claveActive Contours - 

Tipo de recurso: Texto Narrativo  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Metadata may be used without restrictions as long as the oai identifier remains attached to it.

Formatos:  application/pdf - 

Requerimientos técnicos:  Browser: Any - 

Relación: [IsBasedOn] http://ijcss.org/Volume1/Issue1/V1_I1_019.pdf

Fecha de contribución: 25-sep-2009



Otros recursos del mismo autor(es)

  1. Web based Expert System for Diagnosis of Micro Nutrients' Deficiencies in Crops
  2. Computer Based Diagnosis of Glaucoma using Digital Fundus Images
  3. Active Contours without Edges and Curvature Analysis for Endoscopic Image Classification Endoscopic images do not contain sharp edges to segment using the traditional segmentation methods f...
  4. Efficient Scheme for Classifying Grass Genomes
  5. Kidney Segmentation from Ultrasound Images using Gradient Vector Force Ultrasonography is said to be the safest technique in medical imaging and is hence used extensively....

Otros recursos de la misma colección

  1. ALL-AT-ONCE PRECONDITIONING IN PDE-CONSTRAINED OPTIMIZATION The optimization of functions subject to partial differential equations (PDE) plays an important rol...
  2. FAST SOLVERS FOR OPTIMAL CONTROL PROBLEMS FROM PATTERN FORMATION The modelling of pattern formation in biological systems using various models of reaction-diffusion ...
  3. Finite element error analysis for state-constrained optimal control of the Stokes equations An optimal control problem for 2d and 3d Stokes equations is investigated with pointwise inequality ...
  4. Sufficient optimality conditions for the Moreau-Yosida-type regularization concept applied to the semilinear elliptic optmimal control problems with pointwise state constraints We develop sufficient optimality conditions for a Moreau-Yosida regularized optimal control problem ...
  5. Strategies for time-dependent PDE control with inequality constraints using an integrated modeling and simulation environment In [17] we have shown how time-dependent optimal control for partial differential equations can be r...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.