Journal of Image Processing & Pattern Recognition Progress
Volume 5, Issue 2 (2018)
Published
Table of contents
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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A Multimodal Image Fusion based on NonSubsampled Contourlet Transform and Sparse Representation
Abstract: Detection of tumors in the brain is vital in diagnosis of brain cancer. Doctors suggest numerous scans like CT, MRI, PET, and SPECT for estimating the type of cancer, size and location of the tumor and the aging or spread of cancer. A single imaging technique is not sufficient for correct diagnosis of the disease. In case the scans are ambiguous, it can lead doctors to incorrect diagnosis, which can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 12–21 Read article
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Identify the effect of filters on noises
Abstract: Removal of noise from the image is the preleminary step when image pre-processing is done. Many fields such as weather forecasting, 3D graphics in which working on images is done by enhancing the image so that it can be used furthur. Various noises due to temperature, environment conditions, sensors enter into the image. When noise is removed from the image it highlights the particular parts of the image that are …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 22–27 Read article
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Implementing Feature Extraction on Number Plates and Facial Features
Abstract: In this paper, we suggest a feature point extractor naming SURF Speeded Up Robust Features. It is mostly used for 3D images reconstruction, object identification & recognition. It performs in detecting adequate feature points in required region of interest thus making it much faster. This is performed on the basis of image convolutions and simplifying these convolutions to the necessary key points. The paper performed experiments on the various image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 28–37 Read article
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Robust Fruit/Vegetable Quality Assessment Using Nondestructive Textural Distortion Analysis
Abstract: A nondestructive approach for fruit quality assessment is outlined in this paper. An x-ray based image analysis for the internal quality assessment is presented. The quality assessment with external inspection is constraint only to the shape ,color and texture, the quality analysis for the internal effects were not possible. The Nondestructive approach using an x-ray image of a testing sample is processed, where the textural spectral variation and pattern distortion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 38–47 Read article
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Shape Features based classification of Herbal Plants from its Powder using Microscopic Image
Abstract: An identification and classification of herbal plants from its powder using the microscopic image is a challenging task. In this paper, a new approach for identification and classification of Indian herbal plants liquorice, rhubarb and dhatura using the microscopic image is proposed. This paper evaluates the effectiveness of the shape based features with a different classifier for classification of herbal plants. The analysis of microscopic images performed in three stages: …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 48–58 Read article
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A Review of Video Shot Boundary Detection (SBD) technique
Abstract: The first step in effective video management system which provides the facility of content based video search, analysis and retrieval system is Video Shot Boundary Detection (SBD). A shot is a sequence of frames obtained from a single camera without interrupting it. A video contains a lot of shots that are accompanied with transitions from one shot to another. When shot transition occurs over a few number of frames, it …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 59–70 Read article
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Performance Analysis of Cuckoo Search Algorithm for Feature Selection of Seeds
Abstract: A reduced number of features are achieved using cuckoo search algorithm. The accuracy has significantly increased even though the number of selected features has drastically reduced. The classification of paddy varieties is done using the selected features. The number of features has been reduced by fifty percent. The main goal was to use a bio-inspired algorithm for feature selection and this is done using the cuckoo search algorithm. The classification …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 71–78 Read article
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Performance Comparison of Image Processing Techniques employed for Detection of Micro Cracks in Solar PVC
Abstract: Micro cracks are a subject of substantive research in the Photo-Voltaic (PV) industry due to its effects on the performance of Photo-Voltaic Cells (PVCs). They are minute fractures in the constitution of PVCs that occur during the PVC/wafer manufacturing process or due to application of thermal stress or after the manufacturing process on account of stress produced in transportation & handling. These cracks reduce the efficiency by a significant amount …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 79–92 Read article