All articles
119 articles
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Statistical Integration of Radar and Optical Data for Geomorphological Feature Extraction
Abstract: Optical images of OLI sensor and radar images of the sentinel-1 were used for extraction of geomorphologic features in this study. Sentinel-1 images were acquired from two different view directions. Additionally, the three seconds SRTM elevation data was used to correct the geometric and radiometric effects of terrains. Four features of valleys, blades, fans and debris were extracted by visual interpretation. World Imagery images were used as geometric reference. Statistical …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article
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Analysis of Virtual or Remote Laboratories of IITs
Abstract: This paper is about virtual labs challenge of Ministry of Human resource development, authorities of India. The idea of virtual laboratory is to provide a danger to perform experiments the usage of the internet and visual aids without having the equipments at their quit. The digital lab software gives a completely unique opportunity to enhance the first-rate of engineering schooling, deepen information, and provide the necessary practical competencies to young …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 19–25 Read article
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An Efficient Unconstrained Face Recognition System Based on Multi Metric Learning
Abstract: This paper is basically proposed for reconstruction-based metric learning method to learn distance metric for unconstrained face verification. As compare to other metric (only helps for label information and do not applicable for reconstruction based metric) this metric id advanced. This metric is used for multiple metric learning to remove irrelavent data for recognition.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 14–18 Read article
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Enhancement K-Mean Algorithm (EKM) for Image Processing in MATLAB
Abstract: In this paper, a new segmentation scheme for the white blood cells from microscopic images is proposed. This is based on the K-means clustering technique. The RGB test images are converted to the L*a*b color space, and then the two color machinery (a and b) are used as features to the K-means clustering algorithm. The success of image analysis depends on segmentation reliability. The accurate partition of the image into …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 10–13 Read article
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Brain Waves can be used to Detect Potentially Harmful Personal Information
Abstract: A researcher is working to advance research to develop secure user authentication methods, by looking at using brain waves as individual identifiers. However, those brain waves can tell more about a person than just his or her identity, warns this expert.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 6–9 Read article
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Using Image and Pattern Recognition to Play the Game of Connect Four Using Computer
Abstract: Connect four is an advanced version of the commonly played game tic-tac-toe. Using an image recognition system, the computer can be assigned the current state of the play and using an algorithm the next move can be calculated. The extraction of image information and using it to find the solution of the diff condition is a fundamental in this field which is substantially extrapolated here. This paper is a result …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–5 Read article
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Trade and Commerce Membership Facilitation for Industries and Proposed System
Abstract: The project TCMF is required to create an online web form for industries to enroll themselves to register with the organization, which promotes the business of its registered members. The organization is a government of India Enterprise, which verifies the organization thoroughly before proceeding with its promotion. In addition to promotion it also facilitates many other services to its registered members. The web form will be self-explanatory to provide convenience …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 16–19 Read article
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Functional Design for Industries
Abstract: To be a part of any industry like Amazon, Flipkart, etc. We need to register ourself on their portals. So, this paper demonstrates that how to generate these portals by any industry for their customers.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 14–15 Read article
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Designing for Fingerprint Image Enhancement
Abstract: In this paper UML diagrams of fingerprint image enhancement are shown. The Unified Modeling Language is a standard visual modeling language. There are various types of UML diagrams such as Class diagram, Use Case diagram, Sequence diagram, Collaboration diagram. The data flow diagrams are also shown. The software engineering process model i.e. Waterfall model is also described
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 6–8 Read article
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A Sequence Structure for Image Change Detection Using Sensor Network
Abstract: Abstract Change detection in pictures is of nice interest due to its connectedness in several applications like video police work. This article work presents the underlying theoretical drawback of distributed image amendment detection employing a wireless detector network. The planned system consisted of multiple image sensors, which created native choices severally associate degreed send them to a foundation station through an additive white Gaussian noise channel. The bottom station then …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · 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
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An Experimental Analysis Using P-S-M Approach for Edge Detection of Color Images
Abstract: 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 Prewitt-Sobel-Morphological (PSM) edge detectors is presented. This approach can be used as framework for multi-scale edge detectors for a very wide range …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 18–23 Read article
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Indian Lipi Recognition Using Image Analysis Technology
Abstract: Abstract A document image analysis technology is optical character recognition (OCR) where scanned digital images provide as input to the system and translated into an editable machine comprehend digital text format. OCR is an interested topic for researcher in the past decades. It has been seen that efficient algorithms have increased the speed and accuracy of character recognition. A substantial amount of work has been done on foreign languages such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 11–17 Read article
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Comparative Study of Classification Methods Based on Feature Reduced Microarray Gene-Expression Data
Abstract: Abstract Cancer is a very complex and clinical heterogeneous disease. Now a days the research into the diagnosis and treatment of cancer have become an important issue for researchers. Cancer microarray data normally consist of samples having large number of gene expression as features. For better result in cancer classification it is very important to select relevant features. In this paper, five different types of cancer datasets are used such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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On Image Processing Using MATLAB: A Survey
Abstract: Abstract The digital image processing research has following attributes: Image Acquisition, Image Enhancement, Image Segmentation Feature Extraction and Classification. Each steps of digital image processing research has gone long way in developing the techniques, algorithms and methods. This paper will study the use of MATLAB in the steps of digital image processing research. Record each techniques and algorithms, discuss about the sequential timeline development of the algorithms. The performance of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 28–33 Read article
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Combination of Sobel-Rothwell-Bergholm Edge Detectors: An Experimental Measure for Edge Detection of Images
Abstract: Edges of an image can be considered as a type of important information which can be extracted by applying several edge detectors with different techniques. Edge detection is a fundamental and crucial subject in computer vision and image processing. In this paper, a novel edge detection technique which computes edges of different images using the combination of Sobel-Rothwell-Bergholm edge detectors is presented. This method can be considered as template for …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 22–27 Read article
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Underwater Image Enhancement and Edge Detection
Abstract: A hybrid image enhancement and edge detection algorithm for underwater images is proposed in this paper. The proposed enhancement algorithm augments the image quality and suppresses noise in underwater images. The novel edge detection process is centered on the pixel phase information present in images, thereby leading to edge pixels that are illumination invariant. Since, illumination influences a major portion of information in underwater images, subjective analysis of the proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 1, 2015 · pp. 11–21 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