Or you can tweak this pipeline - it should work:
<cv-pipeline>
<stages>
<cv-stage class="org.openpnp.vision.pipeline.stages.ImageCapture" name="image" enabled="true" default-light="true" settle-option="Settle" count="1"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="debug_original" enabled="true" prefix="fidloc_original_" suffix=".png"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.BlurGaussian" name="7" enabled="true" kernel-size="7" property-name="BlurGaussian"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.Threshold" name="6" enabled="true" threshold="5" auto="true" invert="false"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.ConvertColor" name="image_gray" enabled="true" conversion="Bgr2Gray"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.Normalize" name="5" enabled="true"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.BlurGaussian" name="4" enabled="true" kernel-size="3" property-name="BlurGaussian"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.MaskCircle" name="2" enabled="true" diameter="150" property-name="MaskCircle"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.ThresholdAdaptive" name="1" enabled="true" adaptive-method="Gaussian" invert="false" block-size="3" c-parm="0"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.DetectCirclesHough" name="0" enabled="true" min-distance="60" min-diameter="10" max-diameter="35" dp="1.0" param-1="80.0" param-2="20.0"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.DrawCircles" name="8" enabled="true" circles-stage-name="0" thickness="1">
<center-color r="102" g="102" b="0" a="255"/>
</cv-stage>
<cv-stage class="org.openpnp.vision.pipeline.stages.ImageRecall" name="recall_image" enabled="true" image-stage-name="image"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.DrawCircles" name="3" enabled="true" circles-stage-name="0" thickness="3">
<color r="204" g="0" b="0" a="255"/>
</cv-stage>
<cv-stage class="org.openpnp.vision.pipeline.stages.ConvertModelToKeyPoints" name="results" enabled="true" model-stage-name="0"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.DrawKeyPoints" name="draw_keypoints" enabled="true" key-points-stage-name="results"/>
<cv-stage class="org.openpnp.vision.pipeline.stages.ImageWriteDebug" name="debug_results" enabled="true" prefix="fidloc_results_" suffix=".png"/>
</stages>
</cv-pipeline>