I have sample code but it completely leaves out what my (void*)should_be!

I setup a cl_image_desc, cl_image_format, buffer, origin, and region:

Code :
cl_image_desc desc;
desc.image_type = CL_MEM_OBJECT_IMAGE2D;
desc.image_width = width;
desc.image_height = height;
desc.image_depth = 0;
desc.image_array_size = 0;
desc.image_row_pitch = 0;
desc.image_slice_pitch = 0;
desc.num_mip_levels = 0;
desc.num_samples = 0;
desc.buffer = NULL;
 
cl_image_format format;
format.image_channel_order = CL_R;
format.image_channel_data_type = CL_FLOAT;
 
cl_mem bufferSourceImage = clCreateImage(context, CL_MEM_READ_ONLY, &format, &desc, NULL, NULL);
size_t origin[3] = {0, 0, 0};
size_t region[3] = {width, height,1};

In this next snippet sourceImage is a void pointer to my image. But what is my image? For every pixel there are r, g, b, a, x, and y values.

Code :
clEnqueueWriteImage(queue, bufferSourceImage, CL_TRUE, origin, region, 0, 0, sourceImage, 0, NULL, NULL);

How do I turn my image (a bunch of (r,g,b,a,x,y)'s) into a suitable array?

This is the kernel they provide:

Code :
__kernel void convolution(__read_only image2d_t sourceImage, __write_only image2d_t outputImage, int rows, int cols, __constant float* filter, int filterWidth, sampler_t sampler)
{
    int column = get_global_id(0);
    int row = get_global_id(1);
    int halfWidth = (int)(filterWidth/2);
 
    float4 sum = {0.0f, 0.0f, 0.0f, 0.0f};
 
    int filterIdx = 0;
    int2 coords;
    for(int i = -halfWidth; i <= halfWidth; i++)
    {
        coords.y = row + i;
        for(int i2 = -halfWidth; i2 <= halfWidth; i2++) 
        {
            coords.x = column + i2;
            float4 pixel;
            pixel = read_imagef(sourceImage, sampler, coords);
            sum.x += pixel.x * filter[filterIdx++];
 
        }
    }
    if(myRow < rows && myCol < cols)
    {
        coords.x = column;
        coords.y = row;
        write_imagef(outputImage, coords, sum);
    }
}