[PDF] Top 20 CROP DISEASE IDENTIFICATION USING A FEATURE EXTRACTION HOG ALGORITHM

CROP DISEASE IDENTIFICATION USING A FEATURE EXTRACTION HOG ALGORITHM

... and identification of crop diseases is essential to improve the agricultural ...the crop diseases, but the accuracy is considered to be issue over all the researches performed so ...(HOG) ... See full document

5

Comparative Study of Artificial Neural Networks and Convolutional Neural Network for Crop Disease Detection

... early disease detection and classification in crops. The crop disease detection and classification will be done using image processing techniques of image segmentation, feature ... See full document

5

An Enhanced Feature Extraction Model for the Information Retrieval In Crop Disease Detection

... Feature Extraction in image processing has more significance in a large-scale development ...similarity identification process in the Computer Aided Detection (CAD) ...region identification ... See full document

8

Automated Skin Disease Identification using Deep Learning Algorithm

... skin disease application and successfully predicts the skin disease based on maximum voting from the three ...The feature extraction phase, the training phase and the testing / validation ... See full document

8

Frontal Face Clustering In Video Surveillance

... or identification, verification of person, ...detections. Feature extraction is a useful technique for recognizing faces through ...by using viola jones detector and feature ... See full document

7

A spatio-temporal feature extraction algorithm for crop mapping using satellite image time-series data

... type identification is a prerequisite for several agricultural ...of crop classification. In this paper, we proposed a novel feature extraction algorithm in order to extract this ... See full document

10

Apple leaf disease identification using genetic algorithm and correlation based feature selection method

... image using computer vision techniques, feature extraction or dimensionality reduction is a key ...plant disease [7-9] ...recognition. Using color, shape or texture as distinguishing ... See full document

10

3D Volume Calculation of Brain Tumor Using Hog Feature Extraction and Connected Component Technique

... tumor Identification, here the SVM classifier is used to identify the tumor in ...The feature values are provided to the SVM classifier . The feature will trained by the ... See full document

6

Review on Multi Classifier Based Disease Recoganization of Cotton Leaves

... plant disease is to identify the disease in the leaf or fruit or ...by disease and ...Manual identification of disease in the plant is time consuming ...by using image processing ... See full document

5

AN IDENTIFICATION OF CROP DISEASE USING IMAGE SEGMENTATION

... ABSTRACT: Agriculture forms a vital part of India‟s economy. More than 50% of India‟s population is dependent on agriculture for their livelihood. In India, many crops are cultivated, out of which wheat is one of the ... See full document

11

Speaker Identification System using Wavelet Transform and VQ modeling Technique

... speaker using clustering ...quantized using each trained codebook and then VQ-distortion is ...of feature vector and producing a smaller set of measure vector that represent Centroids of ... See full document

5

Review of Techniques for Detecting Video Forgeries

... Abstract— In today’s fast and speedy life the role of multimedia has increased in considerable manner, in which the use of digital images and videos has increased. With the availability of advance digital video ... See full document

5

Speech Feature Extraction and Recognition Using Genetic Algorithm

... genetic algorithm, a database is required which should contain the extracted features of the user pertaining to different ...extracted feature database of the utterances is made using FBCC, as ... See full document

7

Feature Extraction for Document Classification

... proposed algorithm using attributes as ...of algorithm is 98.5 which are high. This new algorithm is a capable technique for this type of ... See full document

7

IJEDR1803077 International Journal of Engineering Development and Research ( www.ijedr.org444

... SVMs are a new technique suitable for binary classification tasks. As the proposed system dealing with the real time, here, the system is based on the OpenCV. The sliding window techniques should be continuously slide ... See full document

9

Feature Extraction for Human Identification Using Local Ternary Pattern

... shape of facial attributes such as the eyes, eyebrows, nose, lips and chin, and their spatial relationships, or 2) the overall (global) analysis of the face image that represents a face as a weighted combination of a ... See full document

8

Challenges of Finger Vein Recognition System: A Theoretical Perspective

... the algorithm of feature extraction is having fault, then the matching will be incorrect which leads to imperfect recognition ...Hence, using suitable enhancement method can improve the value ... See full document

9

1. Plant leaf diseases detection and classification using machine learning

... for disease detection using image processing and Neural network technique by converting RGB image to CIELAB model which is a device independent color model to classify color consistent with the human vision ... See full document

7

Comparison of Feature-List Cross-Correlation Algorithms with Common Cross-Correlation Algorithms

... presented algorithm initially uses the whole image and all gray-scale ...simple feature- values are ...cross-correlation using the Hough ...an algorithm based on the ...by using the ... See full document

15

Feature Extraction for Native Language Identification Using Language Modeling

... This paper reports on the task of Native Language Identification (NLI). We devel- oped a machine learning system to identify the native language of authors of English texts written by non-native English speak- ... See full document

9