Image segmentation using fuzzy rules derived from K-means clusters

Keyphrases

• Image Segmentation 100%
• Fuzzy Rules 100%
• K-means 100%
• Map Image 75%
• Membership Function 50%
• Training Examples 50%
• Segmentation Method 25%
• K-means Clustering Algorithm 25%
• Geographic Map 25%
• Segmentation Quality 25%
• Line Pattern 25%
• Adaptive Thresholding 25%
• Local Contrast 25%
• Cluster Center 25%
• Computerized System 25%
• Triangular Membership Function 25%
• Intensity Standardization 25%
• Grayscale Map 25%
• Centroid Defuzzification 25%
• Mixed Classes 25%
• Intensity Difference 25%
• Human-like 25%
• Uniformly Distributed 25%
• Feature Difference 25%
• Character Pattern 25%

Computer Science

• Image Segmentation 100%
• Training Example 66%
• Membership Function 66%
• Defuzzification 33%
• K-Means Clustering 33%
• Computerized System 33%
• k-means Clustering 33%
• Experimental Result 33%
• Segmentation Technique 33%
• Fuzzy Membership Function 33%
• Local Contrast 33%