Volume-1 Issue-2, June 2021 – Indian Journal of Image Processing and Recognition (IJIPR)

B1007061221

IJIPR Journal — Wed, 11 Aug 2021 05:40:27 +0000

The Indian Journal of Image Processing and Recognition (IJIPR) has ISSN 2582-8037 (online), open-access, peer-reviewed, periodical, bi-monthly international journal. This journal is published by Lattice Science Publication (LSP) in February, April, June, August, October and December. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Image Processing and Recognition that covers Active Vision and Robotic Systems, Architecture of Imaging and Vision Systems, Autonomous Vehicles, Character and Handwritten Text Recognition, Chemical and Spectral Sensitization, Chemistry of Photosensitive Materials, Coating Technologies, Coding and Transmission, Cognitive Aspects of Image Understanding, Color Imaging, Communication of Visual Data, Data Fusion from Multiple Sensor Inputs, Display and Printing, Document Image Understanding, Generation and Display, Holography, Image Analysis and Interpretation, Image Capturing, Image Databases, Image Generation, Image Manipulation, Image Permanence, Image Processing, Image Processing Applications, Image Processing: Coding Analysis and Recognition, Image Representation, Image Sensing, Imaging Systems and Image Scanning, Implementation and Architectures, Latent Image, Materials for Electro-Photography, Monitoring and Surveillance, Network Architecture for Real-Time Video Transport, New Visual Services Over ATM/Packet Network, Non-Impact Printing Technologies, Object Modeling and Knowledge Acquisition, Photoconductors, Photographic Emulsions, Photopolymers, Prepress and Printing Technologies, Processing and Analysis, Protocols for Packet Video, Remote Image Sensing, Retrieval and Multimedia, Scene Modeling, Signal-Processing Aspects of Image Processing, Storage and Transmission, Video Coding Algorithms and Technologies for ATM/P. #Active Vision and Robotic Systems #Architecture of Imaging and Vision Systems #Autonomous Vehicles #Character and Handwritten Text Recognition #Chemical and Spectral Sensitization #Chemistry of Photosensitive Materials #Coating Technologies #Coding and Transmission #Cognitive Aspects of Image Understanding #Color Imaging #Communication of Visual Data #Data Fusion from Multiple Sensor Inputs #Display and Printing #Document Image Understanding #Generation and Display #Holography #Image Analysis and Interpretation #Image Capturing #Image Databases #Image Generation #Image Manipulation #Image Permanence #Image Processing #Image Processing Applications #Image Processing: Coding Analysis and Recognition #Image Representation #Image Sensing #Imaging Systems and Image Scanning #Implementation and Architectures #Latent Image #Materials for Electro-Photography #Monitoring and Surveillance #Network Architecture for Real-Time Video Transport #New Visual Services Over ATM/Packet Network #Non-Impact Printing Technologies #Object Modeling and Knowledge Acquisition #Photoconductors #Photographic Emulsions #Photopolymers #Prepress and Printing Technologies #Processing and Analysis #Protocols for Packet Video #Remote Image Sensing #Retrieval and Multimedia #Scene Modeling #Signal-Processing Aspects of Image Processing #Storage and Transmission #Video Coding Algorithms and Technologies for ATM/P #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

A Robust and Dynamic Fire Detection Algorithm using Convolutional Neural Network
K.Sivasankari¹, Shubham Singh², Kanhaiya Kumar³, Aman Dubey⁴
¹Mrs. K.Sivasankari, Faculty of Computer Science, SRMIST, Bharathi Salai, Ramapuram, Chennai, Tamil Nadu 600089, India.

²Shubham Singh, Computer Science, SRMIST, Bharathi Salai, Ramapuram, Chennai, Tamil Nadu 600089, India.

³Kanhaiya Kumar, Computer Science, SRMIST, Bharathi Salai, Ramapuram, Chennai, Tamil Nadu 600089, India.

⁴Aman Dubey, Computer Science, SRMIST, Bharathi Salai, Ramapuram, Chennai, Tamil Nadu 600089, India.

Manuscript received on 30 May 2021 | Revised Manuscript received on 07 June 2021 | Manuscript Accepted on 15 June 2021 | Manuscript published on 30 June 2021 | PP: 6-10 | Volume-1 Issue-2, June 2021 | Retrieval Number: 100.1/ijipr.B1007061221 | DOI: 10.54105/ijipr.B1007.061221

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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The major part of the underlying idea is going to detect the fire from upcoming smoke and the shade color of the smoke using convolutional neural network. The fire detection followed by the smoke detection is going to depend on the shade and the direction vector analysis in this paper. Image processing from the available set of data is very vague ideation so in order to strengthen the idea we are incorporating two main features that is the smoke shade and direction vector. For this major process we will involve data preprocessing through bi-variate hypothesis to select two variables as the color of smoke and the direction of the smoke and hence do the further analysis on other features that how are they going to help in the upcoming detection neurons for the robust algorithm of fire detection.

Keywords: Smoke Feature Recognition, Yolo, CNN
Scope of the Article: Image Capturing

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B1002041221

IJIPR Journal — Wed, 11 Aug 2021 05:01:58 +0000

An Extensive Review on Image Segmentation Techniques
Kamlesh Sharma¹, Nidhi Garg²
¹Dr. Kamlesh Sharma, Associate Professor, Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India.

²Nidhi Garg, Assistant Professor, Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India.

Manuscript received on 27 February 2021 | Revised Manuscript received on 28 March 2021 | Manuscript Accepted on 15 June 2021 | Manuscript published on 30 June 2021 | PP: 1-5 | Volume-1 Issue-2, June 2021 | Retrieval Number: 100.1/ijipr.B1002041221 | DOI: 10.54105/ijipr.B1002.061221

Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image processing is the use of algorithms to perform various operations on digital images. The techniques that are explained further are image segmentation and image enhancement. Image Segmentation is a method to partition an image into multiple segments, to change the presentation of an image into something more meaningful and easier to analyze. The current image segmentation techniques include region-based segmentation and edge detection segmentation. Image Enhancement is the process of improving the quality of image. Under this section there are two broad divisions- Spatial Domain Technique and Frequency Domain Technique.

Keywords: Image Enhancement, Segmentation, Image Processing, thresholding, Region Based, Spatial Domain
Scope of the Article: Image Processing

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