Merge pull request #18 from ekumenlabs/susanachl/fix_docs

Addressing comments from the open source doc

Author: susanachl

CONTRIBUTING.md

@@ -126,14 +126,14 @@ This projects adopts a [feature branch workflow](https://about.gitlab.com/topics
 1. **Fork the [dicom_to_ros repository](https://github.com/Ekumen-OS/dicom_to_ros/) to your GitHub account**.
 1. **Clone the repository fork locally**. You will need `git`.
    ```bash
-   git clone --recursive git@github.com:<your_username>/beluga.git
+   git clone --recursive git@github.com:<your_username>/dicom_to_ros.git
    ```
    ```
 1. **Create a new branch where your work will go**.
    ```bash
    git checkout -b <your_username>/fix-issue-12345 main
    ```
-1. **Work on your contribution**. See [instructions](DEVELOPING.md) on how to get started with Beluga development.
+1. **Work on your contribution**. See [instructions](README.md) on how to get started with `dicom_to_ros`.
 1. **Test your changes**. For bug fixes, make sure regression tests are included.
 1. **Document your changes as needed**. For new features, make sure added functionality is clearly documented.
 1. **Push the branch to your fork on GitHub**.

README.md

@@ -104,7 +104,7 @@ The system routes data through 6 specialized nodes, launched via `dicom_nodes.la
 DICOM images often come in 12-bit or 16-bit integers with varying ranges. 
 To make them compatible with standard Computer Vision tools (OpenCV/ROS), the imaging nodes perform Min-Max normalization to cast them to `mono8` (uint8):
 
-$$Pixel_{new} = \frac{(Pixel_{raw} - Pixel_{min})}{Pixel_{max}} \times 255$$
+$$Pixel_{new} = \frac{(Pixel_{raw} - Pixel_{min})}{(Pixel_{max} - Pixel_{min})} \times 255$$
 
 ### Metadata and Data Flow