Adaptive Fruit and Vegetable Products Recognition based on multi-feature fusion
نویسندگان
چکیده
Automatic recognition of fruits and vegetable products via computer vision is still a difficult task due to complexity of environment. This paper develops a robust fruit and vegetable products recognition method, which integrates color and texture feature based on Harmonic adaptive feature fusion (HAFF) algorithm proposed by this paper. HAFF firstly use exp function to improve AWC, then compute different weights mean to form a new set of weights. We use HAFF to fuse HSV color histogram, BIC color histogram and completed local binary pattern texture histogram as a hybrid feature; finally, nearest neighbor algorithm is used for multiclass classification. Matlab Simulation result shows that: fusing color features and texture feature by HAFF can acquire the best performance.
منابع مشابه
Automatic fruit and vegetable classification from images
Contemporary Vision and Pattern Recognition problems such as face recognition, fingerprinting identification, image categorization, and DNA sequencing often have an arbitrarily large number of classes and properties to consider. To deal with such complex problems using just one feature descriptor is a difficult task and feature fusion may become mandatory. Although normal feature fusion is quit...
متن کاملFusion Framework for Emotional Electrocardiogram and Galvanic Skin Response Recognition: Applying Wavelet Transform
Introduction To extract and combine information from different modalities, fusion techniques are commonly applied to promote system performance. In this study, we aimed to examine the effectiveness of fusion techniques in emotion recognition. Materials and Methods Electrocardiogram (ECG) and galvanic skin responses (GSR) of 11 healthy female students (mean age: 22.73±1.68 years) were collected ...
متن کاملNeuro-ANFIS Architecture for ECG Rhythm-Type Recognition Using Different QRS Geometrical-based Features
The paper addresses a new QRS complex geometrical feature extraction technique as well as its application for electrocardiogram (ECG) supervised hybrid (fusion) beat-type classification. To this end, after detection and delineation of the major events of ECG signal via a robust algorithm, each QRS region and also its corresponding discrete wavelet transform (DWT) are supposed as virtual images ...
متن کاملUrban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملApplication of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کامل