Object Recognition by Learning Effective Image Features Using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Vehicle Logo Recognition Using Image Matching and Textural Features
In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...
متن کاملLearning of visualization of object recognition features and image reconstruction
We introduce algorithms to visualize feature spaces used inin object recognition systems by inverting a visual feature back to a natural gray scale image. By investigating algorithms including binaryand multi-class SVM, pairwise dictionary and CNN, we succeed in boosting the correlation measures up to 0.846 when comparing the inverted and original images and speed up the inversion process to a ...
متن کاملSelecting effective features from Phonocardiography by Genetic Algorithm based on Pearson`s Coefficients Correlation
The heart is one of the most important organs in the body, which is responsible for pumping blood into the valvular systems. Beside, heart valve disorders are one of the leading causes of death in the world. These disorders are complications in the heart valves that cause the valves to deform or damage, and as a result, the sounds caused by their opening and closing compared to a healthy heart....
متن کاملLearning Features for Object Recognition
Features represent the characteristics of objects and selecting or synthesizing effective composite features are the key factors to the performance of object recognition. In this paper, we propose a co-evolutionary genetic programming (CGP) approach to learn composite features for object recognition. The motivation for using CGP is to overcome the limitations of human experts who consider only ...
متن کاملDetermining the effective features in classification of heart sounds using trained intelligent network and genetic algorithm
Heart diseases are among the most important causes of mortality in the world, especially in industrial countries. Using heart sounds and the features extracted from them are among the non-aggressive diagnosis and prognosis methods for heart diseases. In this study, the time-scale, Cepstral, frequency, temporal and turbulence features are saved and extracted from the heart sounds, and then they ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEJ Transactions on Electronics, Information and Systems
سال: 2002
ISSN: 0385-4221,1348-8155
DOI: 10.1541/ieejeiss1987.122.6_936