A Novel Gaussian Ant Colony Algorithm for Clustering Cell Tracking

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Sequence</td><td class="align_center"><span style="width: 48.5104ptpx;"><svg height="8.70527pt" id="M256" style="vertical-align:-0.1802902pt" version="1.1" viewbox="-0.0498162 -8.52498 48.5104 8.70527" width="48.5104pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M46 650V622C120 617 128 613 128 525V125C128 42 120 34 40 28V0H311V28C221 34 212 39 212 124V281L286 262C297 261 316 261 331 263C429 275 526 338 526 468C526 533 501 579 462 609C422 638 364 650 293 650H46ZM212 559C212 588 215 600 223 606C230 613 251 618 279 618C361 618 430 572 430 464C430 337 350 302 285 302C252 302 225 309 212 314V559Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.202,0)"><path d="M181 342V451C133 431 89 419 40 411V388C98 381 102 377 102 311V104C102 38 95 32 33 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<div>Performance measures of our method on two sequences.</div>

Discrete Dynamics in Nature and Society

tab3

Table 3

Table 3: A Novel Gaussian Ant Colony Algorithm for Clustering Cell Tracking 