diff --git a/demo-data/images/image-001.png b/demo-data/images/image-001.png
new file mode 100644
index 00000000..06cd7a4b
Binary files /dev/null and b/demo-data/images/image-001.png differ
diff --git a/orx-boofcv/src/demo/kotlin/DemoContours01.kt b/orx-boofcv/src/demo/kotlin/DemoContours01.kt
new file mode 100644
index 00000000..33be72b2
--- /dev/null
+++ b/orx-boofcv/src/demo/kotlin/DemoContours01.kt
@@ -0,0 +1,75 @@
+import boofcv.alg.filter.binary.BinaryImageOps
+import boofcv.alg.filter.binary.GThresholdImageOps
+import boofcv.alg.filter.binary.ThresholdImageOps
+import boofcv.struct.ConnectRule
+import boofcv.struct.image.GrayU8
+import org.openrndr.application
+import org.openrndr.boofcv.binding.toGrayF32
+import org.openrndr.boofcv.binding.toShapeContours
+import org.openrndr.color.ColorRGBa
+import org.openrndr.color.rgb
+import org.openrndr.draw.loadImage
+import org.openrndr.extensions.SingleScreenshot
+import org.openrndr.resourceUrl
+import kotlin.math.cos
+import kotlin.math.sin
+
+fun main() {
+    application {
+        program {
+
+            // -- this block is for automation purposes only
+            if (System.getProperty("takeScreenshot") == "true") {
+                extend(SingleScreenshot()) {
+                    this.outputFile = System.getProperty("screenshotPath")
+                }
+            }
+
+            // Load an image, convert to BoofCV format using orx-boofcv
+            val input = loadImage("demo-data/images/image-001.png").toGrayF32()
+
+            // BoofCV: calculate a good threshold for the loaded image
+            val threshold = GThresholdImageOps.computeOtsu(input, 0.0, 255.0)
+
+            // BoofCV: use the threshold to convert the image to black and white
+            val binary = GrayU8(input.width, input.height)
+            ThresholdImageOps.threshold(input, binary, threshold.toFloat(), false)
+
+            // BoofCV: Contract and expand the white areas to remove noise
+            var filtered = BinaryImageOps.erode8(binary, 1, null)
+            filtered = BinaryImageOps.dilate8(filtered, 1, null)
+
+            // BoofCV: Calculate contours as vector data
+            val contours = BinaryImageOps.contour(filtered, ConnectRule.EIGHT, null)
+
+            // orx-boofcv: convert vector data to OPENRNDR ShapeContours
+            val externalShapes = contours.toShapeContours(true,
+                    internal = false, external = true)
+            val internalShapes = contours.toShapeContours(true,
+                    internal = true, external = false)
+
+            extend {
+                drawer.run {
+                    // Zoom in and out over time
+                    translate(bounds.center)
+                    scale(1.5 + 0.5 * cos(seconds * 0.2))
+                    translate(-bounds.center)
+
+                    stroke = null
+
+                    // Draw all external shapes
+                    fill = rgb(0.2)
+                    contours(externalShapes)
+
+                    // Draw internal shapes one by one to set unique colors
+                    internalShapes.forEachIndexed { i, shp ->
+                        val shade = 0.2 + (i % 7) * 0.1 +
+                                0.1 * sin(i + seconds)
+                        fill = ColorRGBa.PINK.shade(shade)
+                        contour(shp)
+                    }
+                }
+            }
+        }
+    }
+}
\ No newline at end of file
diff --git a/orx-boofcv/src/main/kotlin/ContourConversion.kt b/orx-boofcv/src/main/kotlin/ContourConversion.kt
index b04c1c77..89d3d185 100644
--- a/orx-boofcv/src/main/kotlin/ContourConversion.kt
+++ b/orx-boofcv/src/main/kotlin/ContourConversion.kt
@@ -4,19 +4,48 @@ import boofcv.alg.filter.binary.Contour
 import org.openrndr.shape.Shape
 import org.openrndr.shape.ShapeContour
 
-fun Contour.toShape(): Shape {
-    val external = external.toVector2s()
-    val internal = internal.filter { it.size > 0 }. map { it.toVector2s() }
-    val contours = listOf(ShapeContour.fromPoints(external, false)) +
-            internal.map {
-                ShapeContour.fromPoints(it, false)
-            }
+fun Contour.toShape(closed: Boolean = false, getInternal: Boolean, getExternal: Boolean): Shape {
+    val contours = mutableListOf<ShapeContour>()
 
+    if (getExternal) {
+        val externalPoints = external.toVector2s()
+        contours.addAll(listOf(ShapeContour.fromPoints(externalPoints, closed)))
+    }
+    if (getInternal) {
+        val internalCurves = internal.filter { it.size >= 3 }.map { it.toVector2s() }
+        contours.addAll(internalCurves.map { internalCurve ->
+            ShapeContour.fromPoints(internalCurve, closed)
+        })
+    }
     return Shape(contours)
 }
 
-fun List<Contour>.toShapes(): List<Shape> {
-    return this.filter { it.external.isNotEmpty() }.map {
-        it.toShape()
+fun List<Contour>.toShapes(closed: Boolean = false,
+                           internal: Boolean = true,
+                           external: Boolean = true): List<Shape> {
+    return this.filter { it.external.size >= 3 }.map {
+        it.toShape(closed, internal, external)
     }
-}
\ No newline at end of file
+}
+
+fun List<Contour>.toShapeContours(closed: Boolean = false,
+                           internal: Boolean = true,
+                           external: Boolean = true): List<ShapeContour> {
+    val contours = mutableListOf<ShapeContour>()
+    this.forEach { contour ->
+        if(contour.external.size >= 3) {
+            if (external) {
+                val externalPoints = contour.external.toVector2s()
+                contours.add(ShapeContour.fromPoints(externalPoints, closed))
+            }
+            if (internal) {
+                val internalCurves = contour.internal.filter { it.size >= 3 }
+                        .map { it.toVector2s() }
+                internalCurves.forEach { internalContour ->
+                    contours.add(ShapeContour.fromPoints(internalContour, closed))
+                }
+            }
+        }
+    }
+    return contours
+}