scispace - formally typeset
Search or ask a question
JournalISSN: 2229-3922

Signal & Image Processing : An International Journal 

About: Signal & Image Processing : An International Journal is an academic journal. The journal publishes majorly in the area(s): Image processing & Image compression. Over the lifetime, 333 publications have been published receiving 2727 citations. The journal is also known as: electric signal.

Papers published on a yearly basis

Papers
More filters
Journal ArticleDOI
TL;DR: The texture and color features are extracted through wavelet transformation and color histogram and the combination of these features is robust to scaling and translation of objects in an image.
Abstract: The increased need of content based image retrieval technique can be found in a number of different domains such as Data Mining, Education, Medical Imaging, Crime Prevention, Weather forecasting, Remote Sensing and Management of Earth Resources. This paper presents the content based image retrieval, using features like texture and color, called WBCHIR (Wavelet Based Color Histogram Image Retrieval).The texture and color features are extracted through wavelet transformation and color histogram and the combination of these features is robust to scaling and translation of objects in an image. The proposed system has demonstrated a promising and faster retrieval method on a WANG image database containing 1000 general-purpose color images. The performance has been evaluated by comparing with the existing systems in the literature.

176 citations

Journal ArticleDOI
TL;DR: It can be seen that canny edge detector performs better than all other edge detectors on various aspects such as it is adaptive in nature, performs better for noisy image, gives sharp edges, low probability of detecting false edges etc.
Abstract: An edge may be defined as a set of connected pixels that forms a boundary between two disjoints regions. Edge detection is basically, a method of segmenting an image into regions of discontinuity. Edge detection plays an important role in digital image processing and practical aspects of our life. .In this paper we studied various edge detection techniques as Prewitt, Robert, Sobel, Marr Hildrith and Canny operators. On comparing them we can see that canny edge detector performs better than all other edge detectors on various aspects such as it is adaptive in nature, performs better for noisy image, gives sharp edges , low probability of detecting false edges etc.

138 citations

Journal ArticleDOI
TL;DR: Experimental results represents that proposed application of using MFCC for gesture recognition have very good accuracy and hence can be used for recognition of sign language or for other household application with the combination for other techniques such as Gabor filter, DWT to increase the accuracy rate and to make it more efficient.
Abstract: Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image processing. Till now it has been used in speech recognition, for speaker identification. The present system is based on converting the hand gesture into one dimensional (1-D) signal and then extracting first 13 MFCCs from the converted 1-D signal. Classification is performed by using Support Vector Machine. Experimental results represents that proposed application of using MFCC for gesture recognition have very good accuracy and hence can be used for recognition of sign language or for other household application with the combination for other techniques such as Gabor filter, DWT to increase the accuracy rate and to make it more efficient.

103 citations

Journal ArticleDOI
TL;DR: This paper reviews and summarizes the applications of digital image processing techniques for histology image analysis mainly to cover segmentation and disease classification methods.
Abstract: This paper reviews computer assisted histopathology image analysis for cancer detection and classification. Histopathology refers to the examination of invasive or less invasive biopsy sample by a pathologist under microscope for locating, analyzing and classifying most of the diseases like cancer. The analysis of histoapthological image is done manually by the pathologist to detect disease which leads to subjective diagnosis of sample and varies with level of expertise of examiner. The pathologist examine the tissue structure, distribution of cells in tissue, regularities of cell shapes and determine benign and malignancy in image. This is very time consuming and more prone to intra and inter observer variability. To overcome this difficulty a computer assisted image analysis is needed for quantitative diagnosis of tissue. In this paper we reviews and summarize the applications of digital image processing techniques for histology image analysis mainly to cover segmentation and disease classification methods.

101 citations

Journal ArticleDOI
TL;DR: The paper presents the review of the various motion models, motion estimation methods and the smoothening techniques used for stabilizing the captured videos, and describes the direct pixel based and feature based methods of estimating the inter frame error.
Abstract: Video stabilization is a video processing technique to enhance the quality of input video by removing the undesired camera motions. There are various approaches used for stabilizing the captured videos. Most of the existing methods are either very complex or does not perform well for slow and smooth motion of hand held mobile videos. Hence it is desired to synthesis a new stabilized video sequence, by removing the undesired motion between the successive frames of the hand held mobile video. Various 2D and 3D motion models used for the motion estimation and stabilization. The paper presents the review of the various motion models, motion estimation methods and the smoothening techniques. Paper also describes the direct pixel based and feature based methods of estimating the inter frame error. Some of the results of the differential motion estimation are also presented. Finally it closes with a open discussion of research problems in the area of motion estimation and stabilization.

71 citations

Network Information
Related Journals (5)
International Journal of Computer Applications
26.6K papers, 157.4K citations
82% related
Iet Image Processing
2.8K papers, 30.5K citations
81% related
arXiv: Computer Vision and Pattern Recognition
50K papers, 1.1M citations
79% related
Multimedia Tools and Applications
16K papers, 185.7K citations
78% related
Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20218
202018
201917
20188
201720
201620