Color channel extraction in RGB images for segmentation
EB Kumar, V Thiagarasu - 2017 2nd International Conference …, 2017 - ieeexplore.ieee.org
Image segmentation is the process of grouping an image into units that are consistent with
respect to one or more features. Segmentation using gray images has lot of methods to …
respect to one or more features. Segmentation using gray images has lot of methods to …
High dimensional deep data clustering architecture towards evolving concept
A Sumathi, K Yasotha, S Nandhinidevi - NVEO-NATURAL VOLATILES & …, 2021 - nveo.org
Data Clustering on the evolving data stream has becoming primary and vital tasks in the
natural language processing in data driven application domains. Performance analysis of …
natural language processing in data driven application domains. Performance analysis of …
Influence of Salt and Pepper Noise on the Edge Detection of Images Using Modified Canny Edge Detector with S-Membership Function
RPK Reddy - Journal of Science & Technology (JST), 2022 - jst.org.in
Influence of Salt and Pepper Noise on the Edge Detection of Images Using Modified Canny
Edge Detector with S-Membership Function Page 1 Journal of Science and Technology …
Edge Detector with S-Membership Function Page 1 Journal of Science and Technology …
Color Image Edge Detection Based on Fuzzy Rule Based Approach
V Thiagarasu - 2017 - papers.ssrn.com
Edge detection method is one of the important techniques in Image Segmentation, which is
used to find out the objects in the input image in exact manner. An edge is the boundary …
used to find out the objects in the input image in exact manner. An edge is the boundary …
[引用][C] Comparison and Evaluation of Edge Detection using Fuzzy Membership Functions
EB Kumar, V Thiagarasu - International Journal on Future Revolution in Computer …, 2017