scholarly journals Health Detection of Wheat Crop Using Pattern Recognition and Image Processing

2020 ◽  
Vol 15 (2) ◽  
pp. 50-60 ◽  
Author(s):  
Balwant Ram ◽  
Mamoon Rashid ◽  
Kamlesh Lakhwani ◽  
Shibi S. Kumar
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Human Resources ◽  
Agricultural Sector ◽  
Value Added ◽  
Processing Technique ◽  
Vital Role ◽  
Image Processing Technique ◽  
Wheat Crop ◽  
Recognition Method

Agriculture plays a vital role in India's economy. 44% of the employment in India is engaged in agriculture and allied activities and it also contributes 17% of the gross value added. As most of the country's people are in the agricultural sector and out of them only a few are literate about how to protect their cultivation ultimately gives rise to severe problems like a low economy in the sector and starvation for the nation. The job of this research is to help the farmers to save crops from disease. The authors came with the thought of combining a pattern recognition method and an image processing technique. The system allows a farmer to follow a particular pattern of growing crops so that threats will be analyzed earlier. Combining this with the power of Internet of Things, the authors can automate the process without the need for human resources. This research can ultimately make the agriculture process faster and farmers can cultivate more in a less amount of time.

scholarly journals Predict Growth Stages of Wheat Crop using Digital Image Processing

2020 ◽  
Vol 8 (5) ◽  
pp. 3026-3035
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technique ◽  
Mean Value ◽  
Image Processing Technique ◽  
Wheat Crop ◽  
Growth Stages ◽  
Increase Productivity ◽  
Crop Growth Stages

Manual examination is not as accurate to examine crop growing stages because of the possibility of the human mistake and errors. While machine examination or automatic examination can easily examine crop growing stages and increase productivity because it provides fast and accurate examine result. This study provide a solution to finding the wheat crop growth stages, Once the growing stages are established, farmers can take suitable and measured steps to improve the production of wheat or other agricultural crops. For finding the growth stages of wheat digital image processing technique is used. RGB model, HSI model, mean value of green colour, hue and saturation images use for examining wheat crop.

scholarly journals Segmentation and Classification of Beatboxing Acoustic Voice Tract Variations in MRI through Image Processing Technique

2021 ◽  
Author(s):  
Anurag Sinha ◽  
Harsh soni
Keyword(s):  
Image Processing ◽  
Clustering Algorithms ◽  
Histogram Equalization ◽  
Recognition System ◽  
Processing Technique ◽  
Vital Role ◽  
Machine Learning Techniques ◽  
Image Processing Technique ◽  
Sound Recognition ◽  
Vocal Art

Human beatboxing is a vocal art making use of speech organs to produce vocal drum sounds and imitate musical instruments. Beatbox sound classification is a current challenge that can be used for automatic database annotation and music-information retrieval. In this study, a large-vocabulary humanbeatbox sound recognition system was developed with an adaptation of Kaldi toolbox, a widely-used tool for automatic speech recognition. The corpus consisted of eighty boxemes, which were recorded repeatedly by two beatboxers. The sounds were annotated and transcribed to the system by means of a beatbox specific morphographic writing system (Vocal Grammatics). The image processing techniques plays vital role on image Acquisition, image pre-processing, Clustering, Segmentation and Classification techniques with different kind of images such as Fruits, Medical, Vehicle and Digital text images etc. In this study the various images to remove unwanted noise and performs enhancement techniques such as contrast limited adaptive histogram equalization, Laplacian and Harr filtering, unsharp masking, sharpening, high boost filtering and color models then the Clustering algorithms are useful for data logically and extract pattern analysis, grouping, decision-making, and machine-learning techniques and Segment the regions using binary, K-means and OTSU segmentation algorithm. It Classifying the images with the help of SVM and K-Nearest Neighbour(KNN) Classifier to produce good results for those images.

scholarly journals Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review

2018 ◽  
Vol 7 (3.12) ◽  
pp. 175
Author(s):  
K Elaiyaraja ◽  
M Senthil Kumar
Keyword(s):  
Image Processing ◽  
Image Fusion ◽  
Fusion Imaging ◽  
Processing Technique ◽  
Vital Role ◽  
Image Processing Technique ◽  
Positron Emission ◽  
Fusion Methods ◽  
Fusion Applications ◽  
Magnetic Resonance Imaging Mri

Image Processing is an art to get an enriched image or it can be used to retrieve information. This image processing methods are used in medical field also. Numerous modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography (CT) etc. are used to analyze and diagnose diseases.Pixel-level image fusion is a combination of several images collected from various inputs and gives more information than any other input messages. Pixel-level image fusion shows a vital role in medical imaging. In this paper, pixel-level image fusionsmethods are survived and review the fusion quality measures are being used. Finally this surveycomplete with different kinds of image fusion methods proposed and still there are so many imminent ways in image fusion applications. Hence image fusions fields are pointedly develop in the forthcoming years.  

scholarly journals Pattern Recognition through Dip for Wind Turbine

2020 ◽  
Vol 9 (6) ◽  
pp. 448-450
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Wind Turbine ◽  
Digital Image Processing ◽  
Video Stream ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Test Items ◽  
Digital Image Processing Technique ◽  
Proposed Model

This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.

scholarly journals An Improved Lung Cancer Prediction System using Image Processing

2019 ◽  
Vol 8 (4) ◽  
pp. 5059-5063
Keyword(s):  
Lung Cancer ◽  
Image Processing ◽  
Gabor Filter ◽  
Noise Removal ◽  
Processing Technique ◽  
Vital Role ◽  
Image Processing Technique ◽  
Respiratory Problems ◽  
Processing Techniques ◽  
Lung Cancer Detection

Lung cancer is a disease that causes the cells present in the lungs which divide uncontrollably. This uncontrollable division of cells causes tumours which in turn decrease a person’s respiration. Early identification and diagnosis will help people to seek treatment and recover soon. Tumours are an abnormal mass of tissue that results when cells divide more than they should or do not die when they should. Identifying lung cancer in its early stages is very difficult but knowing about its symptoms is quite easy. Symptoms may be similar to those of respiratory problems or infections and sometimes there may be no symptoms at all. In this work mainly deals with the lung cancer detection using image processing techniques were involving all the intermediate stages such as preprocessing stage, noise removal, processing stage, postprocessing stage which finally gives output image after all those stages. Doctors can categorize tumour stage as initial or advanced based on patient CT scan report. The abnormal images are subjected to segmentation (threshold segmentation, watershed transformation) to focus on tumour portion. It mainly deals with image quality and clarity. Gabor filter algorithm plays a vital role for image enhancement in removing noise from an image. The ANN method gives us the best performance as it neglects the background and displays the required portion of an image that we need. This image processing technique is one of the most efficient way of detecting lung cancer.

Automatic Number Plate Goyal Recognition-Image Processing Technique

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Priti Rajvanshi ◽  
Vijaypal Singh Dhaka
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Pattern Recognition ◽  
Mathematical Morphology ◽  
Geometric Analysis ◽  
Processing Technique ◽  
Image Processing Technique ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Systems

Automated Number Plate Recognition (ANPR) is also known as Automated License Plate Recognition (ALPR).Automatic Number Plate Recognition or ANPR is a technology that uses pattern recognition to ‘read’ vehiclenumber plates. The design of ANPR systems is a field of research in artificial intelligence and pattern recognition. The main goal of this paper is to study algorithmic and mathematical principles of automatic number plate recognition systems. ANPR can be used to store the images captured by the cameras as well as the text from the number plate and using mathematical morphology methods to detect the edges of the rectangular plate. Mathematical morphology is a part of digital image processing which is concerned withimage filtering and geometric analysis by using structuring elements (SE).

Automatic Number Plate Recognition- Image Processing Technique

2016 ◽  
Vol 11 (01) ◽  
Author(s):  
Priti Rajvanshi Goyal ◽  
Vijaypal Singh Dhaka
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Pattern Recognition ◽  
Mathematical Morphology ◽  
Geometric Analysis ◽  
Processing Technique ◽  
Image Processing Technique ◽  
License Plate ◽  
License Plate Recognition ◽  
Recognition Systems

Automated Number Plate Recognition (ANPR) is also known as Automated License Plate Recognition (ALPR). Automatic Number Plate Recognition or ANPR is a technology that uses pattern recognition to ‘read’ vehicle number plates. The design of ANPR systems is a field of research in artificial intelligence and pattern recognition. The main goal of this paper is to study algorithmic and mathematical principles of automatic number plate recognition systems. ANPR can be used to store the images captured by the cameras as well as the text from the number plate and using mathematical morphology methods to detect the edges of the rectangular plate. Mathematical morphology is a part of digital image processing which is concerned with image filtering and geometric analysis by using structuring elements (SE).

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