Proceedings ArticleDOI
A dualistic sub-image histogram equalization based enhancement and segmentation techniques for medical images
K. Raj Mohan,G. Thirugnanam +1 more
- pp 566-569
TLDR
This work proposes a dualistic sub-image histogram equalization based enhancement and segmentation techniques and demonstrates that the proposed algorithm is highly efficient over hierarchical grouping technique.Abstract:
Image segmentation plays a vital role in many medical imaging applications by automatically locating the regions of interest. Image segmentation is the most crucial functions in image analysis and processing. Also segmentation results affect all the subsequent processes of image analysis. Manual segmentation of medical image by the radiologist is not only a tedious and time consuming process but also not very accurate. Hence it is necessary to develop medical image segmentation algorithms that are accurate and efficient. In this work, we propose a dualistic sub-image histogram equalization based enhancement and segmentation techniques. The proposed method has been tested and evaluated on several medical images. In this work, the medical image is lineated and extracted out so that it can be viewed individually. The results demonstrate that the proposed algorithm is highly efficient over hierarchical grouping technique. This is validated using the performance measures such as completeness and clearness.read more
Citations
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Proceedings ArticleDOI
Adaptive clip limit for contrast limited adaptive histogram equalization (CLAHE) of medical images using least mean square algorithm
Madhukar Bhat,Tarun Patil M S +1 more
TL;DR: A novel idea of using the concepts of adaptive processing (LMS algorithm) for the estimation of clip limit for CLAHE, where statistical metrics like AMBE and PSNR are used for optimum window size selection for CLA HE.
Proceedings ArticleDOI
Thresholding and morphological based segmentation techniques for medical images
TL;DR: A new algorithm for segmentation of MRI and CT images has been proposed in this work, based on thresholding and morphological techniques and it has been proved that the proposed method is better than the existing techniques.
Proceedings ArticleDOI
Analysis of Image Segmentation Algorithms for the Effective Detection of Leukemic Cells
TL;DR: Image segmentation plays a vital role in medical image processing and the parameters such as precision, accuracy and sensitivity of the results are calculated so as to find a better algorithm which is suitable for segmentation of the leukemic cells.
Journal ArticleDOI
Contrast Enhancement Method Based on Gray and Its Distance Double-Weighting Histogram Equalization for 3D CT Images of PCBs
Lei Zeng,Bin Yan,Weidong Wang +2 more
TL;DR: The proposed algorithm applies enhancement strategies of changing gray and its distance double-weighting mechanism to adapt to this particular purpose and can enhance the gray value of wires and other metals in 3D CT images of PCBs.
Journal ArticleDOI
Ant Colony based Metaheuristic Technique for Color Image Segmentation
Baljot Kaur,P. S. Mann +1 more
TL;DR: This paper represents the effect of mixed regions on image segmentation and color images contain maximum information for efficientimage segmentation.
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