Search Results - subject:"image segmentation"

Maximum inter class variance segmentation algorithm based on decision tree

Yi, Sanli; Zhang, Guifang; He, Jianfeng - In: International journal of information systems in the … 11 (2019) 2, pp. 72-87

Persistent link: https://www.econbiz.de/10012007693

Multilevel Thresholding for Image Segmentation Based on Cellular Metaheuristics

Bouteldja, Mohamed Abdou; Baadeche, Mohamed; Batouche, … - In: International Journal of Applied Metaheuristic … 9 (2018) 4, pp. 1-32

This article describes how multilevel thresholding image segmentation is a process used to partition an image into well … adapted to solve the multilevel thresholding image segmentation problem. Experiments are conducted on different test images to … compete with and even outperform existing methods for multilevel thresholding image segmentation. …

Persistent link: https://www.econbiz.de/10012042973

Some Fuzzy Tools for Evaluation of Computer Vision Algorithms

Osipov, Andrey - In: International Journal of Computer Vision and Image … 8 (2018) 1, pp. 1-14

In this article, some issues related to the performance evaluation of computer vision algorithms within the version of direct empirical supervised evaluation method developed at SRISA RAS are considered. This approach partly relies on the elements defined by using the fuzzy set theory, in...

Persistent link: https://www.econbiz.de/10012043843

Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts

Zeggari, Ahmed; Hachouf, Fella - In: International Journal of Computer Vision and Image … 8 (2018) 2, pp. 59-67

This article describes a trademark retrieval system using autocorrelogram features. The proposed algorithm deals with the trademarks of a same company having different shapes in different languages. Textual and mixed logos types are considered in this study, in which the text area is located...

Persistent link: https://www.econbiz.de/10012043852

Clustering-Based Color Image Segmentation Using Local Maxima

Anbarasan, Kalaivani; Chitrakala, S. - In: International Journal of Intelligent Information … 14 (2018) 1, pp. 28-47

Color image segmentation has contributed significantly to image analysis and retrieval of relevant images. Color image … clustered into identical regions. A novel Clustering-based Image Segmentation using Local Maxima (CBIS-LM) method is presented … segmentation helps the end user subdivide user input images into unique homogenous regions of similar pixels, based on pixel …

Persistent link: https://www.econbiz.de/10012045516

A Grayscale Segmentation Approach Using the Firefly Algorithm and the Gaussian Mixture Model

Giuliani, Donatella - In: International Journal of Swarm Intelligence Research (IJSIR) 9 (2018) 1, pp. 39-57

In this article, the author proposes an unsupervised grayscale image segmentation method based on a combination of the …

Persistent link: https://www.econbiz.de/10012047857

Moth-Flame Optimization Algorithm Based Multilevel Thresholding for Image Segmentation

Khairuzzaman, Abdul Kayom Md; Chaudhury, Saurabh - In: International Journal of Applied Metaheuristic … 8 (2017) 4, pp. 58-83

Multilevel thresholding is a popular image segmentation technique. However, computational complexity of multilevel …

Persistent link: https://www.econbiz.de/10012042954

Microscopic Biopsy Image Segmentation Using Hybrid Color K-Means Approach

Kumar, Rajesh; Srivastava, Rajeev; Srivastava, Subodh - In: International Journal of Computer Vision and Image … 7 (2017) 1, pp. 79-90

The color image segmentation is a fundamental requirement for microscopic biopsy image analysis and disease detection …

Persistent link: https://www.econbiz.de/10012043825

An Innovative Model for Detecting Brain Tumors and Glioblastoma Multiforme Disease Patterns

Guo, Peifang; Bhattacharya, Prabir - In: International Journal of Software Science and … 9 (2017) 4, pp. 34-45

In this article, an innovative model is proposed for detecting brain tumors and glioblastoma multiforme disease patterns (DBT-GBM) in medical imaging. The DBT-GBM model mainly includes five steps, the image conversion in the L* component of the L*a*b* space, an image sample region selection,...

Persistent link: https://www.econbiz.de/10012048050

Towards a Faster Image Segmentation Using the K-means Algorithm on Grayscale Histogram

Benrais, Lamine; Baha, Nadia - In: International Journal of Information Systems in the … 8 (2016) 2, pp. 57-69

The K-means is a popular clustering algorithm known for its simplicity and efficiency. However the elapsed computation time is one of its main weaknesses. In this paper, the authors use the K-means algorithm to segment grayscale images. Their aim is to reduce the computation time elapsed in the...

Persistent link: https://www.econbiz.de/10012045849