bff3172782d3ce86f5535f43d3dc0770d393eb6c,cellprofiler/modules/expandorshrinkobjects.py,ExpandOrShrinkObjects,create_settings,#ExpandOrShrinkObjects#,58

Before Change

        self.wants_outlines = cps.Binary(
                "Retain the outlines of the identified objects?",
                False, doc=
            %(RETAINING_OUTLINES_HELP)s % globals())

        self.outlines_name = cps.OutlineNameProvider(
                "Name the outline image",

After Change

        self.operation = cellprofiler.setting.Choice(
            "Select the operation",
            O_ALL,
            doc=
            Choose the operation that you want to perform:
            <ul>
                <li><i>{O_SHRINK_INF}:</i> Remove all pixels but one from filled objects. Thin objects with
                holes to loops unless the "fill" option is checked.</li>
                <li><i>{O_EXPAND_INF}:</i> Expand objects, assigning every pixel in the image to an object.
                Background pixels are assigned to the nearest object.</li>
                <li><i>{O_DIVIDE}:</i> Remove pixels from an object that are adjacent to another object"s
                pixels unless doing so would change the object"s Euler number (break an object in two, remove
                the object completely or open a hole in an object).</li>
                <li><i>{O_SHRINK}:</i> Remove pixels around the perimeter of an object unless doing so would
                change the object"s Euler number (break the object in two, remove the object completely or open
                a hole in the object). You can specify the number of times perimeter pixels should be removed.
                Processing stops automatically when there are no more pixels to remove.</li>
                <li><i>{O_EXPAND}:</i> Expand each object by adding background pixels adjacent to the image.
                You can choose the number of times to expand. Processing stops automatically if there are no
                more background pixels.</li>
                <li><i>{O_SKELETONIZE}:</i> Erode each object to its skeleton.</li>
                <li><i>{O_SPUR}:</i> Remove or reduce the length of spurs in a skeletonized image. The
                algorithm reduces spur size by the number of pixels indicated in the setting <i>Number of
                pixels by which to expand or shrink</i>.</li>
            </ul>
            .format(**{
                "O_DIVIDE": O_DIVIDE,
                "O_EXPAND": O_EXPAND,
                "O_EXPAND_INF": O_EXPAND_INF,
                "O_SHRINK": O_SHRINK,
                "O_SHRINK_INF": O_SHRINK_INF,
                "O_SKELETONIZE": O_SKELETONIZE,
                "O_SPUR": O_SPUR
            })
        )

        self.iterations = cellprofiler.setting.Integer("Number of pixels by which to expand or shrink", 1, minval=1)

        self.wants_fill_holes = cellprofiler.setting.Binary(
            "Fill holes in objects so that all objects shrink to a single point?",
            False,
            doc=
            <i>(Used only if one of the "shrink" options selected)</i><br>
            Select <i>{YES}</i> to ensure that each object will shrink to a single point, by filling the holes
            in each object.
            <p>Select <i>{NO}</i> to preserve the Euler number. in this case, the shrink algorithm preserves
            each object"s Euler number, which means that it will erode an object with a hole to a ring in order
            to keep the hole. An object with two holes will be shrunk to two rings connected by a line in order
            to keep from breaking up the object or breaking the hole.</p>
            .format(**{
                "NO": cellprofiler.setting.NO,
                "YES": cellprofiler.setting.YES
            })
        )

        self.wants_outlines = cellprofiler.setting.Binary(
            "Retain the outlines of the identified objects?",

Instances