minimum and maximum spelling error

Thiago Franco de Moraes
1 parent 5dc2aead
Showing 5 changed files with 7 additions and 7 deletions Show diff stats
docs/user_guide_en.pdf
docs/user_guide_en_source/cap_manip.tex
docs/user_guide_pt_BR.pdf
docs/user_guide_pt_BR_source/cap_manip.tex
invesalius/data/cy_mesh.pyx
@@ -352,7 +352,7 @@ As shown in Figure~\ref{fig:proj_maxip_qtd}, the number of MaxIP images is set a
 \subsection{MinIP}
-Unlike MaxIP, MinIP (\textit{Minimun Intensity Projection}) selects only the voxels that have minimal intensity among those visited, as shown in Figure~\ref{fig:proj_minIP}. The image number selection comprising the projection is made at the bottom of each orientation image as shown in Figure~\ref{fig:proj_maxip_qtd}.
+Unlike MaxIP, MinIP (\textit{Minimum Intensity Projection}) selects only the voxels that have minimal intensity among those visited, as shown in Figure~\ref{fig:proj_minIP}. The image number selection comprising the projection is made at the bottom of each orientation image as shown in Figure~\ref{fig:proj_maxip_qtd}.
 \begin{figure}[!h]
 \centering
@@ -411,4 +411,4 @@ The Contour MIDA function consists of visualizing contours present in the projec
 \includegraphics[scale=0.40]{multiplanar_window_contour_mida_en.png}
 \caption{Contour MIDA projection}
 \label{fig:proj_contorno_mida}
-\end{figure}
 \ No newline at end of file
+\end{figure}
@@ -412,7 +412,7 @@ Como mostra a figura~\ref{fig:proj_maxip_qtd}, a quantidade de imagens que irá 
 \subsection{MinIP}
-Ao contrário do MaxIP, o MinIP (\textit{Minimun Intensity Projection}) seleciona somente os voxels que possuem internsidade minima entre os visitados, apresentamos na figura~\ref{fig:proj_minIP} um exemplo. A seleção da quantidade de imagens que irá compor a projeção é feita no inferior da imagem de cada orientação como mostra a figura~\ref{fig:proj_maxip_qtd}.
+Ao contrário do MaxIP, o MinIP (\textit{Minimum Intensity Projection}) seleciona somente os voxels que possuem internsidade minima entre os visitados, apresentamos na figura~\ref{fig:proj_minIP} um exemplo. A seleção da quantidade de imagens que irá compor a projeção é feita no inferior da imagem de cada orientação como mostra a figura~\ref{fig:proj_maxip_qtd}.
 \begin{figure}[H]
 \centering
@@ -471,4 +471,4 @@ Compõe a projeção 2D do conjunto de imagens que contém o volume usando a té
 \includegraphics[scale=0.40]{multiplanar_window_contour_mida_pt.png}
 \caption{Projeção de Contorno MIDA}
 \label{fig:proj_contorno_mida}
-\end{figure}
 \ No newline at end of file
+\end{figure}
@@ -173,7 +173,7 @@ cdef class Mesh:
         Params:
             v_id: id of the vertex
-            dmax: the maximun distance.
+            dmax: the maximum distance.
         """
         cdef vector[vertex_id_t]* idfaces
         cdef vector[vertex_id_t]* near_vertices = new vector[vertex_id_t]()
@@ -230,7 +230,7 @@ cdef vector[weight_t]* calc_artifacts_weight(Mesh mesh, vector[vertex_id_t]&amp; ver
         vertices_staircase: the identified staircase artifact vertices
         tmax: max distance the vertex must be to its nearest artifact vertex
               to considered to calculate the weight
-        bmin: The minimun weight.
+        bmin: The minimum weight.
     """
     cdef int vi_id, vj_id, nnv, n_ids, i, j
     cdef vector[vertex_id_t]* near_vertices
@@ -444,7 +444,7 @@ def ca_smoothing(Mesh mesh, double T, double tmax, double bmin, int n_iters):
            vertex a staircase artifact
         tmax: max distance the vertex must be to its nearest artifact vertex
               to considered to calculate the weight
-        bmin: The minimun weight
+        bmin: The minimum weight
         n_iters: Number of iterations.
     """
     cdef double[3] stack_orientation = [0.0, 0.0, 1.0]
	@@ -173,7 +173,7 @@ cdef class Mesh:		@@ -173,7 +173,7 @@ cdef class Mesh:
173		173
174	Params:	174	Params:
175	v_id: id of the vertex	175	v_id: id of the vertex
176	- dmax: the maximun distance.	176	+ dmax: the maximum distance.
177	"""	177	"""
178	cdef vector[vertex_id_t]* idfaces	178	cdef vector[vertex_id_t]* idfaces
179	cdef vector[vertex_id_t]* near_vertices = new vector[vertex_id_t]()	179	cdef vector[vertex_id_t]* near_vertices = new vector[vertex_id_t]()
	@@ -230,7 +230,7 @@ cdef vector[weight_t]* calc_artifacts_weight(Mesh mesh, vector[vertex_id_t]& ver		@@ -230,7 +230,7 @@ cdef vector[weight_t]* calc_artifacts_weight(Mesh mesh, vector[vertex_id_t]& ver
230	vertices_staircase: the identified staircase artifact vertices	230	vertices_staircase: the identified staircase artifact vertices
231	tmax: max distance the vertex must be to its nearest artifact vertex	231	tmax: max distance the vertex must be to its nearest artifact vertex
232	to considered to calculate the weight	232	to considered to calculate the weight
233	- bmin: The minimun weight.	233	+ bmin: The minimum weight.
234	"""	234	"""
235	cdef int vi_id, vj_id, nnv, n_ids, i, j	235	cdef int vi_id, vj_id, nnv, n_ids, i, j
236	cdef vector[vertex_id_t]* near_vertices	236	cdef vector[vertex_id_t]* near_vertices
	@@ -444,7 +444,7 @@ def ca_smoothing(Mesh mesh, double T, double tmax, double bmin, int n_iters):		@@ -444,7 +444,7 @@ def ca_smoothing(Mesh mesh, double T, double tmax, double bmin, int n_iters):
444	vertex a staircase artifact	444	vertex a staircase artifact
445	tmax: max distance the vertex must be to its nearest artifact vertex	445	tmax: max distance the vertex must be to its nearest artifact vertex
446	to considered to calculate the weight	446	to considered to calculate the weight
447	- bmin: The minimun weight	447	+ bmin: The minimum weight
448	n_iters: Number of iterations.	448	n_iters: Number of iterations.
449	"""	449	"""
450	cdef double[3] stack_orientation = [0.0, 0.0, 1.0]	450	cdef double[3] stack_orientation = [0.0, 0.0, 1.0]