Proceedings ArticleDOI
A novel fuzzy c-means approach with bit plane algorithm for classification of medical images
P. Swarnalatha,B. K. Tripathy +1 more
- pp 360-365
TLDR
The performance of fuzzy approach with bit plane technique is evaluated using simulation and it is proved that the approach yields better results when compared to accessible methods.Abstract:
This study plays a vital role in the significance of the analysis of an image in medical image processing field, is gaining thought of many researchers in modern times. The recognition of faults present in the destroyed portion of an image is imperative for based field. In this paper, we focus at developing an approach for better classification of medical images. Our methodology is based on the concept of a novel fuzzy approach with bit plane (FCMBP) algorithm. The bit plane filtering method is used to slice the given image for classification to find out the destroyed region of the given image. The sliced image should be normalized with the old techniques and compared with the fuzzy technique for better classification and cluster of the spoiled portion. Thereby the control points have been extracted that are needed for further reconstruction of images. The performance of fuzzy approach with bit plane technique is evaluated using simulation and it is proved that our approach yields better results when compared to accessible methods.read more
Citations
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Proceedings ArticleDOI
Breast Cancer Image Classification based on CNN and Bit-Plane slicing
TL;DR: The simulation results on the breast cancer image datasets show that the proposed method on some bit-plane can greatly improve recognition rate and promote classification performance.
Depth Reconstruction using Geometric Correction with Anaglyph Approach for Satellite Imagery
TL;DR: In this article, the first phase of pre-processing is used to make the satellite images free from such errors and then the image is reconstructed with depth dimension/depth map generation for the anaglyph image for better interpretation of satellite imagery.
Journal ArticleDOI
Manufacture process quality control of interferometric fibre optic gyroscope using analyses of multi-type assembly and test data
TL;DR: Quality control of manufacture process of a type of interferometric fibre optic gyroscope (IFOG) optical path, which uses computer analyses of multi-type assembly and test data, is proposed, and two quality control algorithms are developed.
Journal ArticleDOI
Breast Cancer Detection in Saudi Arabian Women Using Hybrid Machine Learning on Mammographic Images
Yassir Edrees Almalki,Ahmad Shaf,Tariq S. Abdul-Razaq and Faez H. Ali,Muhammad Aamir,Sharifa Khalid Alduraibi,Shoayea Mohessen Almutiri,Muhammad Irfan,Mohammad Abd Alkhalik Basha,Alaa Khalid Alduraibi,Abdulrahman Manaa Alamri,Muhammad Zeeshan Azam,Khalaf Alshamrani,Hassan A. Alshamrani +12 more
TL;DR: A novel hybrid model is presented using a convolutional neural network with the integration of a support vector machine (SVM) to detect and classify the mammogram images in BI-RADs, achieving better performance compared to previously available methods.
Book ChapterDOI
Hybrid Uncertainty-Based Techniques for Segmentation of Satellite Imagery and Applications
B. K. Tripathy,P. Swarnalatha +1 more
TL;DR: All the uncertainty-based and hybrid algorithms for segmentation of satellite imagery and their applications are discussed and it is shown that hybrid approaches are more efficient than the individual ones.
References
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Fuzzy sets
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Pattern Recognition with Fuzzy Objective Function Algorithms
TL;DR: Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.
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Study and comparison of various image edge detection techniques
TL;DR: This paper has compared several techniques for edge detection in image processing and found that the most efficient and scalable approach is the one that focuses on directly detecting the edges of an image.
Journal ArticleDOI
An approach to localize the retinal blood vessels using bit planes and centerline detection
Muhammad Moazam Fraz,Sarah Barman,Paolo Remagnino,Andreas Hoppe,Abdul Basit,Bunyarit Uyyanonvara,Alicja R. Rudnicka,Christopher G. Owen +7 more
TL;DR: An automated method for segmentation of blood vessels in retinal images is reported and the results demonstrate that the performance of the proposed algorithm is comparable with state of the art techniques in terms of accuracy, sensitivity and specificity.
Journal ArticleDOI
Automated detection of cracks in buried concrete pipe images
Sunil K. Sinha,Paul Fieguth +1 more
TL;DR: In this paper, the authors proposed a two-step approach for the detection of cracks in underground pipe images, the first step is local and is used to extract crack features from the buried pipe images; the second step is global and defines the cracks among the segment candidates by processes of cleaning and linking.
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