A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.2724395pt" id="M1" height="8.19251pt" version="1.1" viewBox="-0.0657574 -7.92007 7.21072 8.19251" width="7.21072pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-100" d="M387 400C387 425 348 451 303 451C247 451 176 414 132 376C69 322 24 228 24 148C24 43 74 -12 147 -12C211 -12 301 33 363 103L346 128C319 99 249 51 193 51C148 51 112 84 112 165C112 230 130 287 154 330C170 359 199 400 243 400C277 400 304 383 326 354C333 345 343 343 354 348C378 360 387 382 387 400Z"/></g></svg>-Means Clustering

<div>Noise pixel and neighbor regions.</div>

Computational and Mathematical Methods in Medicine

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Figure 2

Figure 2: A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-0.2724395pt" id="M1" height="8.19251pt" version="1.1" viewBox="-0.0657574 -7.92007 7.21072 8.19251" width="7.21072pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g50-100" d="M387 400C387 425 348 451 303 451C247 451 176 414 132 376C69 322 24 228 24 148C24 43 74 -12 147 -12C211 -12 301 33 363 103L346 128C319 99 249 51 193 51C148 51 112 84 112 165C112 230 130 287 154 330C170 359 199 400 243 400C277 400 304 383 326 354C333 345 343 343 354 348C378 360 387 382 387 400Z"/></g></svg>-Means Clustering 

Computational and Mathematical Methods in Medicine

A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy -Means Clustering

Figure 2