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155 articles for “Image processing”
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Review Paper on Image Enhancement Using Various Methods
Abstract: Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 27–35 Read article
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Predictive Farming Using Image Based Machine Learning
Abstract: Agriculture sector is considered as central pillar of Indian economics contributing approximately18% of total GDP employing almost 78% of rural population. Export of agro- based commodities hasincreased by 7-folds in past 1.5 decade. Therefore, it is necessary to uplift quality of agro-commoditiesproductions. Improving crop quality and quantity by sowing appropriate crop according to soil typeand weather condition become an hour’s need today. There are variety of soil series available in …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 24–32 Read article
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Edge Detection of Image: A Programmatic Combination of M-B-P Operators
Abstract: Edges of an image can be represented by using various edge detectors with different approaches. Edge detection is a very fundamental part in image processing and computer vision. In this paper, an emerging edge detection approach which computes edges of different images using the programmatic combination of Morphological-Bergholm-Prewitt (M-B-P) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range of …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 13–20 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Identifying Number Plates using Feature Extraction
Abstract: A number plate can be recognized completely only when the number plate on the vehicle is neither broken nor deliberately mutilated. This pose a hinderance in recognizing these types of plates. In order to overcome this problem, one has to either compare the characters recognized from the broken plate or directly compare the features of the given plate to the database. This helps in reducing time and space complexity. Various …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 20–26 Read article
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Edge Detection of Images: An Application of C-R Methodology
Abstract: In this paper, a novel edge detection technique which computes edges of different images using the concept of Center of Mass (COM) with Robert Edge Detector (COM-ROBERT) methodology is presented. The proposed method can be used as framework for multi-scale edge detectors for different images in image processing. Here the edge detection by COM with Robert edge detector methodology is compared with simply COM methodology. Keywords: Edge detection, center of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 9–13 Read article
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Application of COM-LOG Technique for Edge Detection of Images: An Emerging Methodology
Abstract: In this paper, an emerging edge detection method for computing the edges of several images using the concept of Center of Mass (COM) with Laplacian of Gaussian (LOG) Operator is presented. This method can be used as framework for multi-scale edge detectors for several images in image processing. Multi-scale edge detector needs to compute gradient on different scales. Here the edge detection by COM technique with LOG operator is compared …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Next generation bioluminescence imaging technology for tracking numerous biological processes under in vivo conditions
Abstract: To expand our understanding on numerous biological processes happening inside living entities, the mechanism of bioluminescence exists. The process of visible light emission in living things is referred to as bioluminescence. Small laboratory animals can now be molecularly imaged using bioluminescence imaging. It is a potent technology that has been developed over the past ten years in diverse fields of science. In the area of virology, immunology, oncology, and neuroscience, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 8, Issue 2, 2022 · pp. 21–35 Read article
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CSPC: A New Approach for Edge Detection of Gray-Scale Images
Abstract: We can define an edge of an image as a set of connected pixels that creates boundaries of several objects in an image. Generally, Edge detection is a process of segmenting an image into regions of discontinuity. Edge detection takes a greater role in digital image processing as well as practical aspects of our life.Edges of an image can begenerated by implementingseveral edge detector mechanisms.In this paper, anew edge detectionmechanismthat …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 1, 2016 · pp. 1–6 Read article
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Design and Implementation of 32-Bit High Speed Vedic Multiplier
Abstract: To accomplish quicker and more effective calculation, this project combines a Kogge-Stone Adder with the Vedic Urdhva Tiryagbhyam (vertical and crosswise) multiplication method to create a high-speed 32-bit binary multiplier. The KoggeStone Adder minimizes total latency by reducing carry delay at the final addition stage, while the Vedic algorithm allows partial products to be formed simultaneously, increasing speed. This architecture divides 32-bit values into smaller components, multiplies them in parallel, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 18–26 Read article
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Monitoring Urban Sprawl and Land-Use Change Detection with GIS and Remote Sensing Techniques in Latifabad Town Hyderabad, Pakistan
Abstract: Constant rapid urbanization is associated with the reduction of natural resources and the expansion of irregular and uncontrolled expansion, rapidly increased population, and increasing immigrants towards urban areas. In this paper, land-use change is considered the main component in monitoring urban growth. In the context of land-use change, the study analyzes the gap of sustain infrastructure; led towards the conversion of residential areas into commercial areas and subdivisions of various …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 2, 2021 · pp. 41–51 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Particle Swarm Optimization to enhance Low Resolution Images
Abstract: In digital image processing enhancement of low resolution images is always a priority field. Construction of high resolution image from low resolution images by using discrete wavelet transform (DWT) to decompose the input low resolution image into several sub band images. The resolution of surveillance video frames can be improved by interpolation between pixels to generate a moderate enhancement. A hybrid novel method is used to enhance low resolution images …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 2, 2016 · pp. 17–21 Read article
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Image Denoising Based on Wavelet Transform Using Weighted Highpass Filtering Coefficient and Various Filters
Abstract: Abstract— Image denoising (ID) is a material issue found in various image processing (IP) for preservation of image quality and information. There are numerous technique of denoising image. The most necessary property of ID model is that it should completely reduce noise as much as possible and edge preservation. Various algorithm has been developed in past but still it has scope for enhancement. This paper gives a insight view of …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–7 Read article
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Adaptive Visual Tracking for Human Motion Detection
Abstract: Abstract—Object detection is one of the fundamental steps for automated video analysis in many vision applications. Object detection in video is usually performed by background subtraction techniques. In the existing method they proposed object detection by pixel variation of the image from one frame to another and the background subtracted by the training process in the recorded videos. In the proposed method the object is detected in the live video …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Edge Detection of Gray-Scale Images Using P-S-B Methodology: A Novel Approach
Abstract: Abstract Edge detection of images is a very serious challenge to the image processing researchers till date. Several techniques can be implemented to detect the edges of different images. But a single edge detection methodology is not enough to perform very well in each and every possible image context. In this paper, a novel edge detection methodology is presented, that computes the edges of different images using the combination of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 24–29 Read article