Feature extraction of Jabon (Anthocephalus sp) leaf disease using discrete wavelet transform

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Feature Extraction of Visual Evoked Potentials Using Wavelet Transform and Singular Value Decomposition

Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...

متن کامل

Feature Extraction (Image Compression) of Printed Gujarati and Amharic Letters Using Discrete Wavelet Transform

This paper demonstrates an application of discrete wavelet transform as a feature extractor as applicable to natural language processing. The procedure discussed in this paper extracts important features of the printed characters of Gujarati and Amharic scripts and shows Image compression capabilities of discrete wavelets. Procedure prescribed in this paper compresses the original image to 75% ...

متن کامل

Automated Feature Extraction of Epileptic EEG Using Discrete Wavelet Transform and Approximate Entropy

The disease epilepsy is characterized by a sudden and recurrent malfunction of the brain that is termed seizer. The electroencephalogram (EEG) signals play an important role in the diagnosis of epilepsy. Nonlinear analysis quantifies the EEG signal to address randomness and predictability of brain activity. In this study, the wavelet subband decomposition and Approximate Entropy (ApEn) is used ...

متن کامل

Denoising & Feature Extraction of Eeg Signal Using Wavelet Transform

Brain is one of the most complex organ of the humans, it controls the coordination of human muscles & nerves. EEG keeps its importance for identifying the physiological, and the psychological situations of the human and the functional activity of the brain. Being a non stationary signal, suitable analysis is essential for EEG to differentiate the normal EEG and epileptic seizures. Epilepsy is o...

متن کامل

Human Gait Gender Classification using 3D Discrete Wavelet Transform Feature Extraction

Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches focus on shapes of silhouettes or the entire movement of physical ...

متن کامل

ذخیره 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: TELKOMNIKA (Telecommunication Computing Electronics and Control)

سال: 2020

ISSN: 2302-9293,1693-6930

DOI: 10.12928/telkomnika.v18i2.10714