An effective feature extraction method for rice leaf disease classification

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

An effective hand vein feature extraction method.

BACKGROUND As a new authentication method developed years ago, vein recognition technology features the unique advantage of bioassay. OBJECTIVE This paper studies the specific procedure for the extraction of hand back vein characteristics. METHODS There are different positions used in the collecting process, so that a suitable intravenous regional orientation method is put forward, allowing...

متن کامل

Cross Dataset Evaluation of Feature Extraction Techniques for Leaf Classification

In this work feature extraction techniques for leaf classification are evaluated in a cross dataset scenario. First, a leaf identification system consisting of six feature classes is described and tested on five established publicly available datasets by using standard evaluation procedures within the datasets. Afterwards, the performance of the developed system is evaluated in the much more ch...

متن کامل

Enhanced Image Texture Feature Extraction Method Using Local Tetra Patterns for Plant Leaf Classification System

Image textures are groups of metrics computed to classify the captured texture of images. It reveals the information about the spatial orientation of color or gray level intensities in the images or specific regions of the images. The image texture classification of plant leaves is considered in this paper because of the extinction risk of various plants. An efficient plant leaf identification ...

متن کامل

GA Based Optimal Feature Extraction Method for Functional Data Classification

Classification is an interesting problem in functional data analysis (FDA), because many science and application problems end up with classification problems, such as recognition, prediction, control, decision making, management, etc. As the high dimension and high correlation in functional data (FD), it is a key problem to extract features from FD whereas keeping its global characters, which r...

متن کامل

Comparative Study on Feature Extraction Method for Breast Cancer Classification

This paper presents an evaluation and comparison of the performance of three different feature extraction methods for classification of normal and abnormal patterns in mammogram. Three different feature extraction methods used here are intensity histogram, GLCM (Grey Level Co-occurrence Matrix) and intensity based features. A supervised classifier system based on neural network is used. The per...

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: 2021

ISSN: 2302-9293,1693-6930

DOI: 10.12928/telkomnika.v19i2.16488