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minimum and maximum spelling error
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tfmoraes committed Aug 27, 2018
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Binary file modified docs/user_guide_en.pdf
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4 changes: 2 additions & 2 deletions docs/user_guide_en_source/cap_manip.tex
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Expand Up @@ -352,7 +352,7 @@ \subsection{MaxIP}

\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
Expand Down Expand Up @@ -411,4 +411,4 @@ \subsection{Contour MIDA}
\includegraphics[scale=0.40]{multiplanar_window_contour_mida_en.png}
\caption{Contour MIDA projection}
\label{fig:proj_contorno_mida}
\end{figure}
\end{figure}
Binary file modified docs/user_guide_pt_BR.pdf
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4 changes: 2 additions & 2 deletions docs/user_guide_pt_BR_source/cap_manip.tex
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Expand Up @@ -412,7 +412,7 @@ \subsection{MaxIP}

\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
Expand Down Expand Up @@ -471,4 +471,4 @@ \subsection{Contorno MIDA}
\includegraphics[scale=0.40]{multiplanar_window_contour_mida_pt.png}
\caption{Projeção de Contorno MIDA}
\label{fig:proj_contorno_mida}
\end{figure}
\end{figure}
6 changes: 3 additions & 3 deletions invesalius/data/cy_mesh.pyx
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Expand Up @@ -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]()
Expand Down Expand Up @@ -230,7 +230,7 @@ cdef vector[weight_t]* calc_artifacts_weight(Mesh mesh, vector[vertex_id_t]& 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
Expand Down Expand Up @@ -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]
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