scholarly journals A Study of Mammographic Image Segmentation with its Morphological Operation

2021 ◽  
Author(s):  
G Balanagireddy ◽  
J Periasamy ◽  
G Saritha ◽  
M Sujatha ◽  
G Nirmalapriya
Keyword(s):  
Image Segmentation ◽  
Morphological Operation ◽  
Mammographic Image

PCNN-based level set method of automatic mammographic image segmentation

Optik ◽  
2016 ◽  
Vol 127 (4) ◽  
pp. 1644-1650 ◽  
Author(s):  
Weiying Xie ◽  
Yunsong Li ◽  
Yide Ma
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Mammographic Image

scholarly journals THINNING STENTIFORD ALGORITHM FOR KINTAMANI INSCRIPTION IMAGE SEGMENTATION

2020 ◽  
Vol 17 (1) ◽  
pp. 17-22
Author(s):  
Christina Purnama Yanti ◽  
I Gede Andika
Keyword(s):  
Image Segmentation ◽  
Environmental Factors ◽  
Morphological Operations ◽  
Background Color ◽  
Morphological Operation ◽  
Operation Method ◽  
Digital Format

In the copper, inscription contained writing strokes that have high historical value. Age and environmental factors cause damage to the inscription surface and also reduce the appearance of images and letters. One way to preserve it is to carry out the process of converting it into digital format. The use of the morphological operation method is very suitable to be used to improve the shape of the letters in the copper inscription. The morphological operations performed in this study were the Thinning Stentiford algorithm. Based on research that has been done, it was concluded that the Thinning Stentiford algorithm has succeeded in segmenting the letters that exist in the Kintamani copper inscription. However, there are some letters are not well segmented. This is due to the inscription background color and carved letter colors that don't have significant differences. Testing the time it was concluded that the greater the size of the image and the more letters will be segmented, the longer the processing computing.

McCulloch’s algorithm inspired cuckoo search optimizer based mammographic image segmentation

2020 ◽  
Vol 79 (41-42) ◽  
pp. 30453-30488
Author(s):  
Kumar A. Santhos ◽  
A. Kumar ◽  
V. Bajaj ◽  
G. K. Singh
Keyword(s):  
Image Segmentation ◽  
Cuckoo Search ◽  
Mammographic Image

Mammographic image segmentation with modified FCM based clustering algorithm

2020 ◽  
Author(s):  
Shivankshi Tyagi ◽  
Sukhnandan Malhotra ◽  
Dharmendra Kumar ◽  
Vivek Singh Verma ◽  
Anuj Bhardwaj
Keyword(s):  
Image Segmentation ◽  
Clustering Algorithm ◽  
Mammographic Image
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