A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model

<div class="floats-full-page floats-full-page-other"><h2>Table 1</h2><div class="floats-full-page-caption">Different <svg height="13.2498pt" id="M134" style="vertical-align:-3.571899pt" version="1.1" viewbox="-0.0498162 -9.6779 8.00062 13.2498" width="8.00062pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M558 587C558 666 497 712 432 712C379 712 330 691 284 650C212 586 178 508 148 348L71 -65C49 -185 35 -229 23 -235L27 -261C49 -259 101 -251 124 -224C131 -216 138 -178 159 -24C171 66 197 200 227 356C264 550 295 668 393 668C443 668 479 632 479 575C479 516 446 458 383 418C361 404 344 398 318 397L296 350C395 338 460 281 460 192C460 110 411 40 300 40C258 40 215 55 192 69L181 51C191 18 222 -16 266 -16C308 -16 351 1 397 26C471 67 545 142 545 221C545 315 486 365 401 395C469 437 558 498 558 587Z" id="g113-224"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="581" vert-adv-y="581"></glyph.data></g></svg> selected for RICM.</div><div class="floats-full-page-content"><table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="8"><hr /></td></tr><tr class="thead"><td align="left" rowspan="2">Image</td><td align="center" rowspan="2">Figure <a href="../fig1/#a">1(a)</a></td><td align="center" colspan="4">Synthetic color texture images in Figure <a href="../fig2/">2</a></td><td align="center" rowspan="2">Figure <a href="../fig3/#a">3(a)</a></td><td align="center" rowspan="2">Figure <a href="../fig4/#a">4(a)</a></td></tr><tr class="thead"><td align="center">The 1st one</td><td align="center">The 2nd one</td><td align="center">The 3rd one</td><td align="center">The 4th one</td></tr><tr><td class="thead-hr" colspan="8"><hr /></td></tr><tr><td align="left"><span style="width: 8.00062ptpx;"><svg height="13.2498pt" id="M135" style="vertical-align:-3.571899pt" version="1.1" viewbox="-0.0498162 -9.6779 8.00062 13.2498" width="8.00062pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.0135,0,0,-0.0135,0,0)"><path d="M558 587C558 666 497 712 432 712C379 712 330 691 284 650C212 586 178 508 148 348L71 -65C49 -185 35 -229 23 -235L27 -261C49 -259 101 -251 124 -224C131 -216 138 -178 159 -24C171 66 197 200 227 356C264 550 295 668 393 668C443 668 479 632 479 575C479 516 446 458 383 418C361 404 344 398 318 397L296 350C395 338 460 281 460 192C460 110 411 40 300 40C258 40 215 55 192 69L181 51C191 18 222 -16 266 -16C308 -16 351 1 397 26C471 67 545 142 545 221C545 315 486 365 401 395C469 437 558 498 558 587Z" id="g113-224"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="581" vert-adv-y="581"></glyph.data></g></svg></span></td><td align="center">2.5</td><td align="center">4.0</td><td align="center">10.0</td><td align="center">2.0</td><td align="center">2.0</td><td align="center">1.5</td><td align="center">2.0</td></tr><tr class="table-tr"><td colspan="8"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 1 | A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model

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Table 1: A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model

description

Table 1

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<p><em>Mathematical Problems in Engineering</em> is a broad-based journal publishing&nbsp;results of rigorous engineering research across all disciplines, carried out using mathematical tools.</p>


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<p>Chief Editor, Professor Guangming Xie, is currently a full professor of dynamics and control with the College of Engineering, Peking University. His research interests include complex system dynamics and control and intelligent and biomimetic robots.</p>


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