Fish Shape Recognition using Multiple Shape Descriptors
نویسندگان
چکیده
This paper studies recognition of fish shapes using both Region based and Contour based shape based descriptors[9]. Moment Invariants are chosen as the Region based descriptor and the Simple (geometric) shape descriptors (SSD) are used as Contour based shape descriptors. The shapes are varied through scaling and rotation. Manhattan Distance is used as the classifier. The study of the recognition rate by using moment invariants and simple shape descriptors is done separately. Each moment invariant (M1 , M2 , M3 , M4 and M5) is studied separately and jointly. Then simple shape descriptors are combined with moment invariants to get hybrid feature vectors for improving recognition rate. General Terms Fish Shape recognition
منابع مشابه
A new shape retrieval method using the Group delay of the Fourier descriptors
In this paper, we introduced a new way to analyze the shape using a new Fourier based descriptor, which is the smoothed derivative of the phase of the Fourier descriptors. It is extracted from the complex boundary of the shape, and is called the smoothed group delay (SGD). The usage of SGD on the Fourier phase descriptors, allows a compact representation of the shape boundaries which is robust ...
متن کاملRecognizing Objects in Range Data Using Regional Point Descriptors
Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research is the regional shape descriptor. In this paper, we introduce two new regional shape descriptors: 3D shape contexts and harmonic shape contexts. We evaluate the performance of these descriptors on the task of recognizi...
متن کاملProbabilistic Models for 2D Active Shape Recognition using Fourier Descriptors and Mutual Information
Shape recognition is essential for robots to perform tasks in both human and industrial environments. Many algorithms have been developed for shape recognition with varying results. However, few of the proposed methods actively look for additional information to improve the initial shape recognition results. We propose an initial system which performs shape recognition using the euclidean dista...
متن کاملUsing 3D Morphable Models for face recognition in video
The 3D Morphable Face Model (3DMM)[1] has been used for over a decade for creating 3D models from single images of faces. This model is based on a PCA model of the 3D shape and texture generated from a limited number of 3D scans. The goal of fitting a 3DMM to an image is to find the model coefficients, the lighting and other imaging variables from which we can remodel that image as accurately a...
متن کاملMultiscale Fourier descriptor for shape classification
The description of the object shape is an important characteristic of the image. In image processing and pattern recognition, several different shape descriptors are used. In human visual perception, the shapes are processed in multiple resolutions. Therefore multiscale shape representation is essential in the shape based image classification and retrieval. In the description of the object shap...
متن کامل