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Function rescale_intensity

plotly/express/imshow_utils.py:131–247  ·  view source on GitHub ↗

Return image after stretching or shrinking its intensity levels. The desired intensity range of the input and output, `in_range` and `out_range` respectively, are used to stretch or shrink the intensity range of the input image. See examples below. Parameters ---------- ima

(image, in_range="image", out_range="dtype")

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129
130
131def rescale_intensity(image, in_range="image", out_range="dtype"):
132 """Return image after stretching or shrinking its intensity levels.
133
134 The desired intensity range of the input and output, `in_range` and
135 `out_range` respectively, are used to stretch or shrink the intensity range
136 of the input image. See examples below.
137
138 Parameters
139 ----------
140 image : array
141 Image array.
142 in_range, out_range : str or 2-tuple, optional
143 Min and max intensity values of input and output image.
144 The possible values for this parameter are enumerated below.
145
146 'image'
147 Use image min/max as the intensity range.
148 'dtype'
149 Use min/max of the image's dtype as the intensity range.
150 dtype-name
151 Use intensity range based on desired `dtype`. Must be valid key
152 in `DTYPE_RANGE`.
153 2-tuple
154 Use `range_values` as explicit min/max intensities.
155
156 Returns
157 -------
158 out : array
159 Image array after rescaling its intensity. This image is the same dtype
160 as the input image.
161
162 Notes
163 -----
164 .. versionchanged:: 0.17
165 The dtype of the output array has changed to match the output dtype, or
166 float if the output range is specified by a pair of floats.
167
168 See Also
169 --------
170 equalize_hist
171
172 Examples
173 --------
174 By default, the min/max intensities of the input image are stretched to
175 the limits allowed by the image's dtype, since `in_range` defaults to
176 'image' and `out_range` defaults to 'dtype':
177
178 >>> image = np.array([51, 102, 153], dtype=np.uint8)
179 >>> rescale_intensity(image)
180 array([ 0, 127, 255], dtype=uint8)
181
182 It's easy to accidentally convert an image dtype from uint8 to float:
183
184 >>> 1.0 * image
185 array([ 51., 102., 153.])
186
187 Use `rescale_intensity` to rescale to the proper range for float dtypes:
188

Callers 2

imshowFunction · 0.85

Calls 2

_output_dtypeFunction · 0.85
intensity_rangeFunction · 0.85

Tested by 1