Journal of Image Processing & Pattern Recognition Progress
Volume 5, Issue 1 (2018)
Published
Table of contents
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Human Motion Recognition Using Optical Flow Based Particle Filtering
Abstract: ABSTRACTHuman motion recognition has been a significant topic in computer vision due to its numerous applications such as video surveillance, human machine interaction and video retrieval. One core difficulty behind these applications is mechanically identifying low-level actions and high-level activities of concern. This paper presents a technique of automatically identifying the motion accomplished by humans. The speeded up robust features (Optical flow with kinetic energy algorithm) are made use of, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 1–9 Read article
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A Novel Geometrical Features for Identification of Diseases in Paddy Leaves
Abstract: Abstract— Novel geometrical features have been proposed for identification of diseases in paddy leaves. Identification of fungal diseases like blast and brown spot diseases are done by using geometrical features and derived features of geometrical features. The Gamma technique is used for enhancement of images. The enhanced RGB images are converted to HSV color space. The Hue component of HSV is considered for segmentation of diseased portion. The kNN classifier …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 10–17 Read article
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A Novel Approach of Medical Image Fusion using Wavelet Transforms
Abstract: Image processing applications have been growing rapidly in real world. The term fusion means an approach to extract the useful information from several modalities. Image fusion (IF) is used to integrate the complementary information obtained from multisensor, multiview and/or multitemporal and get an image of more information and the quality of which cannot be achieved from any individual image. Different fusion algorithms are useful in many applications like medical diagnosis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 18–25 Read article
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Leaf Disease Classification Using Artificial Neural Networks and Decision Tree Classifier
Abstract: Most of the population in India depends on agriculture production. Diseases on plant cause a significant loss of nation’s economy. The Loss can be reduced by identifying the disease at the earlier stage. Leaves are the main indicator of diseases in a plant. Hence efficient automatic leaf disease identification system is the need for the current scenario. As it detects the diseases on leaf immediately after they appear, it prevents …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 26–32 Read article
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A Survey on Ant Colony Optimization Algorithm for Travelling Salesman Problem
Abstract: The ant colony optimization algorithm, abbreviated as ACO, is a meta-heuristic optimization algorithm which is based on the probability for solving different computational problems such as travelling salesman problem (TSP), job scheduling problem, vehicle routing problem etc. This algorithm is a member of ant colony algorithms family in swarm intelligence methods, which is based on the foraging behaviour of real ants. This paper presents a review on a variety of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 33–38 Read article
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Analogy between Various Edge Detection Algorithms
Abstract: Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 39–44 Read article
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Extract & Recognize texts From Images using ROI and Webcam
Abstract: Identification of texts from logos is crucial step in today’s world as every organisation has a different logo. Logos may contain different colorful background which make it difficult to easily recognise the text from the logo. Sometimes, texts on the logos are not easily readable as texts may have different font, foreground color, orientations,etc. This paper focusses on the extraction and recognition of texts from the logos and number plates.We …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 45–50 Read article
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A Review on Breast Cancer Diagnosis in Mammography Images Using Deep Learning Techniques
Abstract: The Breast Cancer is second of the dangerous type diseases that is very effective for women in the world. Breast Cancer is spread very fast in last stage. It’s not give a more time for patients for treatment. We need accurate and efficient diagnosis system over a short period of time that can processed a large amount of data in a short time. It’s only possible using deep learning techniques. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 51–57 Read article